Infrastructure Indicators

The total population share with access to drinking water in Myanmar is forecast to amount to 83.46% in 2024.
The total population share with access to electricity in Myanmar is forecast to amount to 76.12% in 2024.
The total population share with access to basic sanitation in Myanmar is forecast to amount to 74.45% in 2024.
The total number of air passengers in Myanmar is forecast to amount to 3.50m in 2024.
The total number of registered carrier departures in Myanmar is forecast to amount to 73.47k in 2024.

The Infrastructure Indicators refer to the various infrastructure and mobility indicators of a country. It provides a comprehensive look at past, current, and anticipated mobility developments in a global comparison. These indicators help understand changes in mobility, transportation, and infrastructure as well as making both short- and long-term business and policy decisions.

Structure:

The Infrastructure Indicators cover two focus areas.

The Basic Services focus area includes population access to electricity, basic drinking water, and basic sanitation.
Transport includes indicators regarding air and rail transport

Infrastructure
Transport

Transport accidents
Shared mobility
Tourism

Importance of Logistics and Transport Indicators: Logistics and transport indicators are essential for evaluating the efficiency of the transportation sector across various modes, including air, sea, and rail. These indicators measure infrastructure health, industry performance, and the movement of goods and people, offering insights into demand, capacity, and development.

Infrastructure and Basic Services: Strong infrastructure, including transport systems, electricity, sanitation, and drinkable water, is vital for economic development and quality of life. Adequate transport infrastructure ensures the efficient delivery of goods and services, while access to basic services is crucial for supporting communities and enabling sustainable growth.

Monitoring and Decision-Making: Tracking logistics and transport indicators helps stakeholders optimize operations, reduce costs, and identify industry trends. This monitoring is key to improving sector performance and aligning logistics systems with broader economic and social objectives.

Challenges and Adaptation in the Sector: The logistics and transport sector faces challenges from regulations, air travel demand, e-commerce growth, technological advancements, and sustainability concerns. To overcome these challenges, stakeholders must adapt strategies, embrace innovation, and prioritize sustainable practices, ensuring the sector remains resilient and responsive to global needs.

Data coverage:

The dataset encompasses data from 152 countries. The charts depict the situation of each country in six different domains. These domains are socioeconomic indicators, macroeconomic indicators, health indicators, digital and connectivity indicators, consumption indicators, as well as logistics and transport indicators. Within these domains, various segments are covered, including demography, economic measures, economic inequality, employment, consumption, health determinants, and much more.

Modeling approach:

The composition of each domain follows a comprehensive approach that combines both top-down and bottom-up methodologies, with each domain and segment being guided by a specific rationale. To evaluate the situation of these six domains within each country, we rely on pertinent indicators and data from reputable international institutions, local national statistical offices, industry associations, and leading private institutions. Additionally, we undertake data processing procedures to address issues such as missing timelines, outliers, and data inconsistency. Our data processing incorporates advanced statistical techniques, including interpolation, exponential moving weighted average, and the Savitzky-Golay filter. These methods contribute to the refinement and enhancement of data quality.

Forecasts:

In our forecasting process, a wide range of statistical techniques is utilized based on the characteristics of the markets. For example, the S-curve function is employed to forecast the adoption of new technology, products, and services, aligning the forecast model with the theory of innovation adoption. Additionally, the data is forecasted using ARIMA with and without seasonality considerations, exponential trend smoothing, and the Compound Annual Growth Rate (CAGR), with the option to incorporate adjustment factors when necessary. These techniques enable accurate and reliable forecast methods tailored to the unique characteristics of the data in each market and country.

Additional notes:

The data is updated twice per year or every time there is a significant change in their dynamics. The impacts of the COVID-19 pandemic and of the Russia/Ukraine war are considered at a country-specific level.

Bordered by Bangladesh, India, China, Laos, and Thailand, Myanmar has displayed a steady yet gradual increase in population throughout recent years. Although the Southeast Asian country, formally known as Burma, is the largest mainland Southeast Asian state, its population is lower than that of its neighboring countries. Nevertheless, Myanmar has been ranked the 26th most populated country in the world, with its previous capital city Yangon being the country’s most populous city. Myanmar's population density has also been increasing alongside its total population. The majority of the population live in areas with populations of less than three hundred thousand inhabitants. In this regard, it does not seem too surprising that Myanmar has a mostly rural population. However, the rural population has in fact been decreasing throughout recent years, while the urban population has increased.