Botswana vs Mali: Cereal production index

Botswana
197.72 gross, 1999-2001 = 100
in 2011
Mali
175.55 gross, 1999-2001 = 100
in 2011
Botswana rank
6th
Mali rank
7th

Cereal production index over time

  • Botswana
  • Mali
0100200300196119862011

How they compare

Botswana currently reports 197.72 gross, 1999-2001 = 100 against 175.55 gross, 1999-2001 = 100 in Mali, a difference of 22.17 gross, 1999-2001 = 100.

That makes Botswana's figure about 1.1 times Mali's.

The two have swapped places 12 times across 51 shared years of data; in 1961 it was Botswana ahead.

Botswana ranks 6th and Mali ranks 7th of 51 countries.

Across the 6 decades both report, Botswana averaged higher in 4 and Mali in 2.

Head to head by decade

Decade Botswana Mali Difference Ahead
1960s 92.28 gross, 1999-2001 = 100 31.19 gross, 1999-2001 = 100 61.09 gross, 1999-2001 = 100 Botswana
1970s 176.17 gross, 1999-2001 = 100 32.03 gross, 1999-2001 = 100 144.14 gross, 1999-2001 = 100 Botswana
1980s 113.52 gross, 1999-2001 = 100 44.13 gross, 1999-2001 = 100 69.39 gross, 1999-2001 = 100 Botswana
1990s 136.65 gross, 1999-2001 = 100 66.92 gross, 1999-2001 = 100 69.73 gross, 1999-2001 = 100 Botswana
2000s 99.1 gross, 1999-2001 = 100 109.53 gross, 1999-2001 = 100 10.44 gross, 1999-2001 = 100 Mali
2010s 172.31 gross, 1999-2001 = 100 188.23 gross, 1999-2001 = 100 15.93 gross, 1999-2001 = 100 Mali

Averages of every year both report within each decade.

Frequently asked questions

Which has higher cereal production index, Botswana or Mali?
Botswana, at 197.72 gross, 1999-2001 = 100 against 175.55 gross, 1999-2001 = 100 in Mali as of 2011.
What is the difference in cereal production index between Botswana and Mali?
22.17 gross, 1999-2001 = 100, with Botswana ahead.
How many years of comparable data are there for Botswana and Mali?
51 years are reported by both, from 1961 to 2011.
How do Botswana and Mali rank globally for cereal production index?
Botswana ranks 6th and Mali ranks 7th of 51 countries.
Where does this data come from?
Food and Agriculture Organization, electronic files and web site, published as Cereal production index (gross, 1999-2001 = 100). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Botswana vs Mali: Cereal production index. Statizoid, drawing on Food and Agriculture Organization, electronic files and web site. Retrieved 27 August 2026, from https://agriculture.statizoid.com/compare/cereal-production-index-gross-1999-2001-100/botswana/mali/

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About this data

Indicator
Cereal production index (gross, 1999-2001 = 100)
Unit
gross, 1999-2001 = 100
Source
Food and Agriculture Organization, electronic files and web site
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
52 places, 2,567 data points, 1961–2011
Last refreshed

Cereal production index covers cereals that are considered edible and that contain nutrients. The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 2004-2006. They are based on the sum of price-weighted quantities of different agricultural commodities produced after deductions of quantities used as seed and feed weighted in a similar manner. The resulting aggregate represents, therefore, disposable production for any use except as seed and feed. All the indices at the country, regional and world levels are calculated by the Laspeyres formula. Production quantities of each commodity are weighted by 2004-2006 average international commodity prices and summed for each year. To obtain the index, the aggregate for a given year is divided by the average aggregate for the base period 2004-2006. Since the FAO indices are based on the concept of agriculture as a single enterprise, amounts of seed and feed are subtracted from the production data to avoid double counting them, once in the production data and once with the crops or livestock produced from them. Deductions for seed (in the case of eggs, for hatching) and for livestock and poultry feed apply to both domestically produced and imported commodities. They cover only primary agricultural products destined to animal feed (e.g. maize, potatoes, milk, etc.). Processed and semi-processed feed items such as bran, oilcakes, meals and molasses have been completely excluded from the calculations at all stages. should be noted that when calculating indices of agricultural, food and nonfood production, all intermediate primary inputs of agricultural origin are deducted. However, for indices of any other commodity group, only inputs originating from within the same group are deducted; thus, only seed is removed from the group “crops” and from all crop subgroups, such as cereals, oil crops, etc.; and both feed and seed originating from within the livestock sector (e.g. milk feed, hatching eggs) are removed from the group “livestock products”. For the main two livestock subgroups, namely, meat and milk, only feed originating from the respective subgroup is removed. The ”international commodity prices” are used in order to avoid the use of exchange rates for obtaining continental and world aggregates, and also to improve and facilitate international comparative analysis of productivity at the national level. These” international prices”, expressed in so-called ""international dollars”, are derived using a Geary-Khamis formula for the agricultural sector. This method assigns a single “price” to each commodity. For example, one metric ton of wheat has the same price regardless of the country where it was produced. The currency unit in which the prices are expressed has no influence on the indices published. The commodities covered in the computation of indices of agricultural production are all crops and livestock products originating in each country. Practically all products are covered, with the main exception of fodder crops. The category of food production includes commodities that are considered edible and that contain nutrients. Accordingly, coffee and tea are excluded along with inedible commodities because, although edible, they have practically no nutritive value. Aggregates are the sum of available data.