Asia Fuel Prices Detailed

By shrijeetverma13 · April 7, 2026

Asia Fuel Prices — Comprehensive Global Comparison\n\nA meticulously curated dataset comparing retail fuel prices (gasoline & diesel) across 60 countries…

The scatter plot shows virtually no linear relationship between refinery capacity and oil import dependency across Asian countries, with a correlation coefficient of -0.05. This near-zero correlation means that having more refinery capacity does not strongly predict whether a country relies more or less on oil imports.

There is a weak positive relationship (r = 0.27) between gasoline prices and EV adoption rates across countries. While higher fuel costs do nudge EV adoption slightly upward, the connection is not strong enough to be a primary driver. A scatter plot with a trend line has been generated to visualize this relationship.

The analysis generated a box plot visualization and supporting data tables comparing gasoline and diesel prices between countries with and without active fuel subsidies. The chart displays the price distributions for both fuel types across the two subsidy groups, making it easy to visually compare price ranges, medians, and spread.

The chart shows countries ranked by their fuel subsidy spending (bars) alongside how much of a daily wage gasoline costs (line). The visualization reveals which countries invest the most in fuel subsidies and whether that spending translates into lower gasoline affordability burdens for citizens.

There are 10 countries with 100% oil import dependency. A grouped bar chart and data table have been generated showing their fuel prices and refinery capacities. These countries span South and Southeast Asia, ranging from landlocked nations like Nepal and Mongolia to island states like Singapore and Sri Lanka.

The analysis produced a bar chart showing the gasoline-diesel price gap for each country, color-coded by whether a fuel subsidy is active. This makes it easy to spot which countries have the largest differences between gasoline and diesel prices at a glance.

The analysis produced two visualizations and a data table comparing average fuel affordability index across sub-regions. A bar chart (color-coded red-to-green) shows each sub-region's average index sorted from lowest to highest, making it easy to spot which regions struggle most. A box plot reveals the spread and distribution of affordability within each sub-region, including individual country data points. Lower index values indicate fuel is less affordable relative to income — so the sub-regions appearing in red at the left of the bar chart are the ones that struggle most with fuel costs.

The countries where gasoline is least affordable — meaning it takes the biggest chunk of a daily wage to buy fuel — are led by Afghanistan, Timor-Leste, Nepal, Myanmar, and Pakistan. A bar chart has been generated showing the top 22 countries ranked by this metric, with darker red bars indicating the least affordable fuel relative to income.

The 5 countries with the highest gasoline prices per liter are all located in Asia. Singapore tops the list at $2.53/L, followed by Pakistan ($1.64/L), Timor-Leste ($1.38/L), South Korea ($1.37/L), and Nepal ($1.34/L). A bar chart has been generated showing these prices with each country color-coded by sub-region.

The analysis identified the top 5 countries by transport CO2 emissions and compared their refinery capacities. Two bar charts and a data table were generated to visualize the results. China dominates by a wide margin with 990 MT of transport CO2 emissions and the largest refinery capacity at 17,840 kbpd. India comes in second at 325 MT with 5,340 kbpd refinery capacity, followed by Japan (182 MT, 3,520 kbpd), Indonesia (148 MT, 1,080 kbpd), and South Korea (96 MT, 3,330 kbpd).

East Asia has both the highest total and highest average CO2 transport emissions among all sub-regions. It recorded a total of 1,306.3 MT and an average of 261.3 MT per entry — making it the dominant sub-region in transport-related CO2 output.

Six countries combine below-median income (under $295/month) with above-median gasoline prices (over $1.19/liter), creating serious fuel affordability crises. The data table ranks these countries by the percentage of daily wages consumed by a liter of gasoline, revealing how severe the burden is for each nation.

The bar chart shows the percentage savings of LPG compared to gasoline on a per-liter equivalent basis across countries. Countries with bars above the 50% threshold line represent the strongest fuel-switching opportunities, where LPG is significantly cheaper than gasoline.

The analysis identified subsidized countries that are strong candidates for subsidy removal — those with higher-than-median monthly incomes and lower-than-median gasoline costs as a percentage of daily wages. A scatter plot was generated showing all subsidized countries plotted by average monthly income (x-axis) vs. gasoline % of daily wage (y-axis), with bubble size representing subsidy cost in billions USD. Dashed lines mark the median thresholds, making it easy to spot candidates in the upper-left quadrant (high income, low wage burden).

The analysis produced two visualizations showing how CO2 transport emissions scale relative to refinery capacity across countries. A scatter plot maps each country's refinery capacity (kbpd) against its CO2 transport emissions (MT), with bubble size and color indicating the CO2-to-refinery ratio — making it easy to spot outliers. A bar chart ranks countries by their CO2 per refinery capacity ratio, directly highlighting which nations emit disproportionately more CO2 relative to their refining output.

The analysis produced a chart and data table showing the 5 countries with the cheapest gasoline and diesel prices. The bar chart compares gasoline and diesel prices side by side, while overlay lines track subsidy costs and refinery capacity for each country — making it easy to see which factor drives low prices. Both subsidies and refinery capacity are visualized together so you can spot the dominant driver at a glance.

The analysis produced two visualizations showing which countries lead in EV adoption and how their income levels and subsidy policies compare. A bar chart displays the top 10 countries ranked by EV adoption percentage, with green bars indicating countries that have active fuel subsidies and red bars for those without. A scatter plot maps EV adoption rate against average monthly income, with bubble sizes representing subsidy cost in billions of USD, making it easy to spot whether wealthier or subsidy-heavy nations dominate EV uptake.