Norway vs Tunisia: Classification of household consumption
Classification of household consumption over time
- Norway
- Tunisia
How they compare
Norway currently reports 1 against 1 in Tunisia, a difference of 0.
The two have swapped places 1 time across 8 shared years of data; in 2016 it was Norway ahead.
Norway ranks 1st and Tunisia ranks 1st of 188 countries.
Norway has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Norway | Tunisia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 1 | 0 | 1 | Norway |
| 2020s | 1 | 0.75 | 0.25 | Norway |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher classification of household consumption, Norway or Tunisia?
- Norway, at 1 against 1 in Tunisia as of 2023.
- What is the difference in classification of household consumption between Norway and Tunisia?
- 0, with Norway ahead.
- How many years of comparable data are there for Norway and Tunisia?
- 8 years are reported by both, from 2016 to 2023.
- How do Norway and Tunisia rank globally for classification of household consumption?
- Norway ranks 1st and Tunisia 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.