Denmark vs South Korea: Classification of household consumption
Classification of household consumption over time
- Denmark
- South Korea
How they compare
Denmark currently reports 1 against 1 in South Korea, a difference of 0.
Across all 20 years both countries report, South Korea has been ahead every year.
Denmark ranks 1st and South Korea ranks 1st of 188 countries.
Head to head by decade
| Decade | Denmark | South Korea | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1 | 1 | 0 | — |
| 2010s | 1 | 1 | 0 | — |
| 2020s | 1 | 1 | 0 | — |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher classification of household consumption, Denmark or South Korea?
- Denmark, at 1 against 1 in South Korea as of 2023.
- What is the difference in classification of household consumption between Denmark and South Korea?
- 0, with Denmark ahead.
- How many years of comparable data are there for Denmark and South Korea?
- 20 years are reported by both, from 2004 to 2023.
- How do Denmark and South Korea rank globally for classification of household consumption?
- Denmark ranks 1st and South Korea 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.