Botswana vs Kuwait: Food price inflation — Value
Food price inflation — Value over time
- Botswana
- Kuwait
How they compare
Botswana currently reports 5.79 % against 5.71 % in Kuwait, a difference of 0.08 %.
The two have swapped places 12 times across 26 shared years of data; in 2001 it was Botswana ahead.
Botswana ranks 49th and Kuwait ranks 50th of 200 countries.
Botswana has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Botswana | Kuwait | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 10 % | 5.13 % | 4.88 % | Botswana |
| 2010s | 3.56 % | 3.05 % | 0.5178 % | Botswana |
| 2020s | 7.1 % | 6.48 % | 0.6167 % | Botswana |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher food price inflation — value, Botswana or Kuwait?
- Botswana, at 5.79 % against 5.71 % in Kuwait as of 2026.
- What is the difference in food price inflation — value between Botswana and Kuwait?
- 0.08 %, with Botswana ahead.
- How many years of comparable data are there for Botswana and Kuwait?
- 26 years are reported by both, from 2001 to 2026.
- How do Botswana and Kuwait rank globally for food price inflation — value?
- Botswana ranks 49th and Kuwait ranks 50th of 200 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Food price inflation — Value. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The FAOSTAT monthly Food CPI and General CPI database was based on the ILO CPI data until December 2014. In 2014, IMF-ILO-FAO agreed to transfer global CPI data compilation from ILO to IMF. Upon agreement, CPIs for all items and its subcomponents originates from the International Monetary Fund (IMF), and the UN Statistics Division (UNSD) for countries not covered by the IMF. However, due to a limited time coverage from IMF and UNSD for a number of countries, the Organisation for Economic Co-operation and Development (OECD), Central Bank of Western African States (BCEAO), Eastern Caribbean Central Bank (ECCB), UNdata, United Nations Conference on Trade and Development (UNCTAD) and the national statistics offices websites databases are used for filling the missing data of Food and General CPI. The FAO CPI dataset for all items (or General CPI) and the Food CPI, consists of a complete and consistent set of time series from January 2000 onwards. Data gaps on monthly Food CPI and General CPI are filled using statistical estimation procedures to have full data coverage for all countries for Food CPI and for General CPI. These indices measure the price change between the current and reference periods of the average basket of goods and services purchased by households. The General CPI is typically used to measure and monitor inflation, set monetary policy targets, index social benefits such as pensions and unemployment benefits, and to escalate thresholds and credits in the income tax systems and wages in public and private wage contracts. The FAOSTAT monthly Food CPI inflation rates are annual year-over-year inflation or percentage change over corresponding month of the previous year. The regional and subregional Food and General CPI, and the aggregated Food and General CPI at the different income levels (High-income economies, Low-income economies, Lower-middle-income economies and Upper-middle-income economies) are calculated using two different statistical methods: 1- A weighted average of Food and General CPI values of countries and territories within each region using the weights of Household final consumption expenditure (including non-profit institutions serving households) in 2015 in USD at constant prices of 2015. Household final consumption expenditure is available at https://unstats.un.org/unsd/snaama 2- Median of Food and General CPI values of countries and territories within each region. The Food CPI inflation rates for regional, subregional, and income groups are calculated by first computing, at the country level, the monthly percentage change between two consecutive years. These country-level inflation rates are then aggregated to the group level using two alternative methods: the median and the weighted average, whose weights are based on household final consumption expenditure at 2015 constant prices.