Fiji vs Myanmar: Classification of household consumption
Classification of household consumption over time
- Fiji
- Myanmar
How they compare
Fiji currently reports 1 against 1 in Myanmar, a difference of 0.
The two have swapped places 2 times across 8 shared years of data; in 2016 it was Myanmar ahead.
Fiji ranks 1st and Myanmar ranks 1st of 188 countries.
Fiji has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Fiji | Myanmar | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.75 | 0 | 0.75 | Fiji |
| 2020s | 1 | 0.75 | 0.25 | Fiji |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher classification of household consumption, Fiji or Myanmar?
- Fiji, at 1 against 1 in Myanmar as of 2023.
- What is the difference in classification of household consumption between Fiji and Myanmar?
- 0, with Fiji ahead.
- How many years of comparable data are there for Fiji and Myanmar?
- 8 years are reported by both, from 2016 to 2023.
- How do Fiji and Myanmar rank globally for classification of household consumption?
- Fiji ranks 1st and Myanmar ranks 1st of 188 countries.
- Where does this data come from?
- Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators), published as Classification of household consumption. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Classification of Individual Consumption According to Purpose (COICOP) is used in household budget surveys, consumer price indices and international comparisons of gross domestic product (GDP) and its component expenditures. Although COICOP is not strictly linked to any particular model of consumer behavior, the classification is designed to broadly reflect differences in income elasticities. It is an integral part of the SNA1993 and more detailed subdivision of the classes provide comparability between countries and between statistics in these different areas.