St. Kitts and Nevis vs Viet Nam: Classification of household consumption
Classification of household consumption over time
- St. Kitts and Nevis
- Viet Nam
How they compare
St. Kitts and Nevis currently reports 1 against 1 in Viet Nam, a difference of 0.
Across all 8 years both countries report, Viet Nam has been ahead every year.
St. Kitts and Nevis ranks 1st and Viet Nam ranks 1st of 190 countries.
Viet Nam has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | St. Kitts and Nevis | Viet Nam | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0 | 0.75 | 0.75 | Viet Nam |
| 2020s | 0.75 | 1 | 0.25 | Viet Nam |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher classification of household consumption, St. Kitts and Nevis or Viet Nam?
- St. Kitts and Nevis, at 1 against 1 in Viet Nam as of 2023.
- What is the difference in classification of household consumption between St. Kitts and Nevis and Viet Nam?
- 0, with St. Kitts and Nevis ahead.
- How many years of comparable data are there for St. Kitts and Nevis and Viet Nam?
- 8 years are reported by both, from 2016 to 2023.
- How do St. Kitts and Nevis and Viet Nam rank globally for classification of household consumption?
- St. Kitts and Nevis ranks 1st and Viet Nam ranks 1st of 190 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.