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Showing posts with label Chatgpt. Show all posts
Showing posts with label Chatgpt. Show all posts

Monday, February 23, 2026

Average IPL first innings score by season

 Here’s a season-by-season summary of the average IPL first-innings score from the tournament’s inception in 2008 through the 2024 season, based on season-level run averages obtained from available statistical compilations: (X (formerly Twitter))

SeasonAvg. First Innings Score (runs)
2008160.9
2009150.2
2010164.7
2011152.3
2012157.4
2013155.8
2014163.1
2015166.2
2016162.6
2017165.7
2018172.4
2019166.4
2020169.5
2021159.3
2022171.1
2023182.7
2024189.5


Top Tax collecting countries

 Here’s a concise table summarizing the top countries by total government tax revenue in nominal USD (latest available 2024/2023 data, rounded and converted into billion USD) — based on country economy tax data: (countryeconomy.com)

CountryTotal Tax Revenue (≈ billion USD)
United States~ 7,481.4 billion USD
Germany~ 1,781.5 billion USD
United Kingdom~ 1,252.3 billion USD
France~ 1,373.6 billion USD
Japan~ 1,426.0 billion USD
Italy~ 1,017.9 billion USD
Spain~ 633.0 billion USD
Austria~ 232.0 billion USD
Belgium~ 282.9 billion USD
Australia~ 530.4 billion USD

Sources & context:

  • Figures reflect total government tax revenues collected in the most recent year available (mainly 2024, with some 2023 figures for Japan) in current USD. (countryeconomy.com)

  • “Tax Revenue ($ M)” from the sourced dataset was summed and converted to billions for clarity (divide the $ M value by 1,000). (countryeconomy.com)

  • These totals include all major categories of taxes (income, corporate, consumption, property, social contributions, etc.) as reported in national and comparative fiscal datasets. (countryeconomy.com)


Tourist arrivals by country

 Here’s a concise summary of top countries by international tourist arrivals per year, using the latest available global tourism data (primarily from UNWTO and related rankings): (Reference.org)

CountryInternational Tourist Arrivals (millions)Data Year / Source
France102.0 M2024 UNWTO rankings (Reference.org)
Spain93.8 M2024 UNWTO rankings (Reference.org)
United States72.4 M2024 UNWTO rankings (Reference.org)
Turkey60.6 M2024 UNWTO rankings (Reference.org)
Italy57.8 M2024 UNWTO rankings (Reference.org)
Mexico45.0 M2024 UNWTO rankings (Reference.org)
United Kingdom41.8 M2024 UNWTO rankings (Reference.org)
Germany37.5 M2024 UNWTO rankings (Reference.org)
Japan36.9 M2024 UNWTO rankings (Reference.org)
Greece36.0 M2024 UNWTO rankings (Reference.org)

Notes:

  • This table is based on 2024 international arrivals data (the most recent complete year from UNWTO and tourism compilations). (Reference.org)

  • Figures are in millions of arrivals and represent inbound tourists (people crossing international borders to visit).

  • Rankings may vary slightly depending on source and year updates (e.g., 2023 vs 2024 data), but France and Spain consistently top the list. (Reference.org)

Here’s a summary table of the top countries by international tourism revenue (receipts) — i.e., money earned from foreign visitors’ spending — based on the most recent global data (2024 figures):

CountryInternational Tourism Receipts (USD billion)Data Year / Source
United States215.0UN Tourism receipts (2024) (Reference.org)
Spain106.5UN Tourism receipts (2024) (Reference.org)
United Kingdom84.5UN Tourism receipts (2024) (Reference.org)
France77.1UN Tourism receipts (2024) (Reference.org)
Italy58.7UN Tourism receipts (2024) (Reference.org)
United Arab Emirates57.0UN Tourism receipts (2024) (Reference.org)
Turkey56.3UN Tourism receipts (2024) (Reference.org)
Japan54.7UN Tourism receipts (2024) (Reference.org)
Australia52.0UN Tourism receipts (2024) (Reference.org)
Canada49.9UN Tourism receipts (2024) (Reference.org)

Notes:

  • International tourism receipts represent foreign visitors’ spending on accommodation, food, shopping, transport, and related services in a destination country. (Reference.org)

  • The U.S. leads by a significant margin, earning more than $215 billion from international visitors in 2024. (Reference.org)

  • Figures are measured in current US dollars and rounded to the nearest tenth of a billion where reported. (Reference.org)


Top Indian banks

 Here’s a current summary of the top Indian banks ranked by market capitalization with their approximate market cap in billion USD (most recent estimates available): (FactoData)

Bank NameMarket Cap (approx., USD billion)Notes / Source
HDFC Bank~ 157 billionIndia’s largest bank by market value as of Feb 2026; RBI data indicates ~ $157 billion market cap. (Reuters)
ICICI Bank~ 110.5 billionMarket cap estimated from broader ranking data. (FactoData)
State Bank of India (SBI)~ 78 billionSBI is the largest public sector bank by market cap. (FactoData)
Kotak Mahindra Bank~ 48 billionRanked fourth in India by market cap. (FactoData)
Axis Bank~ 38.6 billionFifth-largest bank by market cap. (FactoData)

Context:

  • These figures represent approximate market capitalizations in USD based on the latest publicly reported data (2025–early 2026 estimates from financial data aggregators). (FactoData)

  • Market cap values constantly change with stock prices and exchange rates.


India Tax collections

 Here are total consolidated tax revenue figures for India from the Government of India’s official budget sources:

Financial YearTotal Consolidated Tax Revenue (Gross Tax Revenue) ₹ croreNotes / Source
2023-24 (Actuals)34,37,211 croreGross Tax Revenue actual (Central Government) from Union Budget Receipt Budget 2024-25 data. (indiabudget.gov.in)
2024-25 (Budget Estimate)38,30,796 croreGross Tax Revenue estimated for FY 2024-25 in Union Budget Receipt Budget 2024-25. (indiabudget.gov.in)
2024-25 (Provisional Net Tax Receipts)30,36,000 crore (approx)Net tax receipts reported by Government (provisional actual to March 2025). (Press Information Bureau)

Clarifications

  • Gross Tax Revenue (GTR) refers to the total tax collections before deductions such as devolution to states. These figures represent the centre’s consolidated tax revenue for the entire financial year. For FY 2023-24, the actual gross tax revenue is from audited government documents. For FY 2024-25, the budget estimate reflects how much tax revenue the government expected to collect; provisional actual net tax receipts (~₹30.36 trillion / ₹30,36,000 crore) was published later. (indiabudget.gov.in)

  • Net tax receipts differ from gross tax revenue because they subtract transfers and devolutions (e.g., share given to states), while gross figures include all tax receipts collected at the central level.

  • All figures are in ₹ crore. 1 trillion = 1,00,000 crore. vē


India's richest people

 Here’s a summary table of the top richest people in India based on the latest available Forbes list (2025/2026 estimates) with their estimated net worth in USD and source references: (Forbes)

NameNet Worth (USD, approx.)References
Mukesh Ambani$105 BForbes India’s 100 Richest (Oct 2025) (Forbes)
Gautam Adani & family$92 BForbes India’s 100 Richest (Oct 2025) (Forbes)
Savitri Jindal & family$40.2 BForbes India’s 100 Richest (Oct 2025) (Forbes)
Sunil Mittal & family$34.2 BForbes India’s 100 Richest (Oct 2025) (Forbes)
Shiv Nadar$33.2 BForbes India’s 100 Richest (Oct 2025) (Forbes)
Radhakishan Damani & family$28.2 BForbes India’s 100 Richest (Oct 2025) (Forbes)
Dilip Shanghvi & family$26.3 BForbes India’s 100 Richest (Oct 2025) (Forbes)
Bajaj Family$21.8 BForbes India’s 100 Richest (Oct 2025) (Forbes)
Cyrus Poonawalla$21.4 BForbes India’s 100 Richest (Oct 2025) (Forbes)
Kumar Birla$20.7 BForbes India’s 100 Richest (Oct 2025) (Forbes)

Notes:

  • These values are approximate and based on Forbes India’s 100 Richest list (Oct 2025) — the most recent detailed compilation available publicly. (Forbes)

  • Net worth estimates can change rapidly due to stock market movements, asset revaluations, and currency exchange fluctuations.

  • Variants of these rankings appear in other India-focused reports (e.g., Indian Express, Times of India), but the Forbes list provides a widely referenced global benchmark. (The Indian Express)


Sunday, February 22, 2026

Tamil Nadu Growth Path

 Below is a trend table and a simple chart of Tamil Nadu’s Gross State Domestic Product (GSDP) from 2000 to 2020 at current prices (nominal) based on widely reported historical data (MoSPI and compiled historical series): (Wikipedia)

📊 GSDP of Tamil Nadu (Nominal, Current Prices) — Selected Years

(figures in ₹ lakh crore — 1 lakh crore = 1 trillion)

YearGSDP (₹ lakh crore)
20001.79 L
2005~2.90 L
2010~6.59 L
2015~11.76 L
2018~16.30 L
2019~17.43 L
2020~18.08 L

(Source: Historical state series data from MoSPI / compiled historical tables) (Wikipedia)


📈 Visual Growth Chart: 2000–2020 (Nominal GSDP)

20 ┤                                                 ● 2020: 18.08
   │                                             ●
   │                                         ●
15 ┤                                     ●
   │                                 ●       2018: 16.30
   │                           ●
   │                      ●   2015: 11.76
10 ┤                   ●
   │             ●
   │        ●
   │    ●
 5 ┤
   │
   │
   └┬────────┬────────┬────────┬────────┬────────
   2000     2005     2010     2015     2020

📌 Interpretation

  • Steady long-term expansion: Tamil Nadu’s economy has expanded ten-fold from 2000 to 2020 in nominal terms, reflecting strong industrialisation and diversification. (Wikipedia)

  • 2000–2010 phase: Initial rapid expansion, with GSDP rising from ₹1.79 L to ~₹6.6 L. (Wikipedia)

  • 2010–2020 phase: Continued strong growth in the 2010s, reaching ~₹18.08 L by 2020, even in the face of global slowdown in 2019–20. (Wikipedia)


📊 Notes on Data

  • These figures are at nominal (current) prices and not adjusted for inflation or real growth rates.

  • Base year and reporting conventions for GSDP occasionally change, but the broad trend of sustained expansion remains robust. (Wikipedia)


I

South Korea GDP growth path

 Here’s a comprehensive summary of South Korea’s GDP per capita growth over the past ~60 years, based on historical economic data from international sources such as the World Bank, IMF, and long-term datasets: (Georank)


📈 1. Long-Term Trend (1960 – Present)

Starting Point (1960s)

  • In 1960, South Korea’s nominal GDP per capita was extremely low—only around ~$150–$160 (current USD) as a war-torn, agrarian economy. (Georank)

  • Throughout the 1960s and 1970s, export-led industrialization under state-directed development plans began raising incomes significantly with sustained double-digit per capita growth rates in many years. (Georank)

Rapid Catch-Up (1970s–1990s)

  • Between the early 1970s and late 1980s, GDP per capita increased steadily from the low hundreds to several thousand dollars as manufacturing and heavy industry expanded. (Georank)

  • By 1990, per capita income exceeded ~$6,800 — a nearly 40× increase in ~30 years from the 1960 base. (Georank)

Asian Financial Crisis and Recovery (1997–2000s)

  • During the 1997–98 Asian financial crisis, per capita GDP fell sharply (e.g., ~ $13,000 in 1996 → ~ $8,500 in 1998) but rebounded as the economy restructured. (Georank)

  • Throughout the 2000s, incomes resumed robust growth, crossing $20,000+ by the mid-2000s. (Georank)

Recent Decades (2010s–2020s)

  • By 2010, GDP per capita had risen to around ~$24,000–$26,000. (Georank)

  • Throughout the 2010s, growth continued, albeit at a slower pace than in earlier decades, surpassing $30,000 around 2014–2015. (Georank)

  • 2021 represented a peak year in many international nominal metrics, with income of about $37,500 before post-pandemic volatility. (Georank)

2020s & Recent Performance

  • Recent years have shown slower per capita growth with some year-to-year volatility (COVID impacts, exchange rate effects), but per capita GDP still remains high by global standards — around $35,000–$36,000 in the early 2020s. (Macrotrends)


📊 2. Growth Dynamics

Decadal Growth Characteristics

  • 1960–1980: Exceptionally rapid growth; industrialization drove repeated double-digit gains in GDP per person.

  • 1980–2000: Continued solid growth with intermittent downturns (notably the 1997 crisis).

  • 2000–2010: Strong, more steady expansion as Korea became a globally integrated, advanced economy.

  • 2010–2020: Growth moderates as Korea approaches high-income levels; structural factors (aging demographics, slower productivity growth) dampen per-capita gains.

  • 2020–2025: Growth resumes after pandemic dip but remains modest relative to earlier decades, with occasional contractions in dollar terms due to currency fluctuations and slower global demand. (YCharts)

Annual Growth Rate Trends

  • Annual real per capita growth often exceeded 5–10% in early decades.

  • In the 1990s–2000s, growth rates typically slowed into 2–8% range year-to-year.

  • In recent years (2010s–2020s), year-over-year growth rates narrowed further — often ~1–4% outside major global disruptions. (YCharts)


📌 Summary Numbers (Illustrative Milestones)

YearApprox. Nominal GDP per Capita (USD)
1960~$158 – ~$160
1970~$280 – ~$300
1980~$1,700 – ~$1,800
1990~$6,800
2000~$12,700
2010~$24,000
2015~$30,000
2020~$31,700
2021~$37,500 (peak)
2023~$35,600
2025 (proj.)~$36,000

(Values approximate current USD terms and reflect large long-term growth.)


📌 Key Takeaways

  • Massive long-run catch-up: From a very low base in 1960, South Korea’s GDP per capita increased by two orders of magnitude over ~60+ years. (Georank)

  • Structural change: Transition from a poor, agrarian economy to a diversified industrial and high-technology economy under export-oriented development plans. (vox.com)

  • Growth moderation: As incomes rose to high-income levels, annual per-capita growth slowed relative to earlier decades — typical of mature economies. (YCharts)



Sunday, August 31, 2025

Comparison of Central Govt bailout of Banks

 

Feature India (2017–2021 Recap Bonds) Indonesia (1997–2004 Bank Restructuring Bonds) Ireland (2008 NAMA Bonds)
Context Twin Balance Sheet Problem: Stalled projects → NPAs in PSBs. Asian Financial Crisis: Currency crash + bank insolvencies. Global Financial Crisis: Property bubble burst, banks loaded with toxic real-estate loans.
Issuer Government of India. Government of Indonesia via IBRA (Indonesian Bank Restructuring Agency). Irish government via NAMA (National Asset Management Agency).
Subscribers / Holders Public Sector Banks (PSBs) themselves; non-tradable. Commercial banks; BRBs were tradable & could be sold for liquidity. Irish banks (who swapped bad loans for NAMA bonds); later held by ECB & markets.
Purpose Boost bank equity capital without upfront fiscal cost; improve CAR. Replace NPAs with safe sovereign securities; restore solvency. Remove toxic property loans from bank balance sheets; provide liquidity.
Mode / Type Sovereign bonds, often zero-coupon or low coupon, non-tradable, long maturity. Interest-bearing sovereign bonds, long-term (10–20 years), tradable. Government-guaranteed bonds, interest-bearing, eligible as collateral at ECB.
Amount Issued ~₹2.76 lakh crore (USD ~40 bn) via recap bonds (2017–2021). ~IDR 430 trillion (≈ USD 45–50 bn). ~€30 billion NAMA bonds (≈ USD 40 bn).
Accounting Effect – Banks Assets: Recap bonds. Equity: Govt infusion → higher CAR. Assets: BRBs replace NPAs. Equity: Solvency restored. Assets: NAMA bonds replace property loans; liquidity restored.
Accounting Effect – Govt Liabilities: Public debt ↑. Assets: Higher PSB equity stake. Liabilities: Debt ↑ (up to 50% of GDP). Assets: Claims on banks & recoveries via IBRA. Liabilities: Sovereign-guaranteed bonds. Assets: NAMA held loans (often impaired).
Uniqueness “Circular internal loop” — govt issues bonds, PSBs subscribe, govt infuses equity into same PSBs. Direct swap of NPAs for sovereign bonds (banks got tradable securities). NAMA acted as a “bad bank”, using govt bonds to buy toxic loans at discounted prices.
Outcome Stabilised PSBs; supported by IBC resolutions later. Fiscal impact spread over years. Banking system rescued but govt debt surged sharply. Banks stabilised but Ireland’s fiscal position collapsed → EU/IMF bailout (2010).