Botswana vs Chad: Non-food production index
Non-food production index over time
- Botswana
- Chad
How they compare
Chad currently reports 42.55 gross, 1999-2001 = 100 against 30.29 gross, 1999-2001 = 100 in Botswana, a difference of 12.26 gross, 1999-2001 = 100.
That makes Chad's figure about 1.4 times Botswana's.
The two have swapped places 9 times across 51 shared years of data; in 1961 it was Botswana ahead.
Botswana ranks 50th and Chad ranks 49th of 51 countries.
Across the 6 decades both report, Botswana averaged higher in 4 and Chad in 2.
Head to head by decade
| Decade | Botswana | Chad | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 166.96 gross, 1999-2001 = 100 | 56.27 gross, 1999-2001 = 100 | 110.69 gross, 1999-2001 = 100 | Botswana |
| 1970s | 125.28 gross, 1999-2001 = 100 | 69.48 gross, 1999-2001 = 100 | 55.81 gross, 1999-2001 = 100 | Botswana |
| 1980s | 130.79 gross, 1999-2001 = 100 | 64.04 gross, 1999-2001 = 100 | 66.75 gross, 1999-2001 = 100 | Botswana |
| 1990s | 76.73 gross, 1999-2001 = 100 | 100.16 gross, 1999-2001 = 100 | 23.43 gross, 1999-2001 = 100 | Chad |
| 2000s | 100.12 gross, 1999-2001 = 100 | 83.46 gross, 1999-2001 = 100 | 16.66 gross, 1999-2001 = 100 | Botswana |
| 2010s | 30.29 gross, 1999-2001 = 100 | 40.66 gross, 1999-2001 = 100 | 10.37 gross, 1999-2001 = 100 | Chad |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher non-food production index, Botswana or Chad?
- Chad, at 42.55 gross, 1999-2001 = 100 against 30.29 gross, 1999-2001 = 100 in Botswana as of 2011.
- What is the difference in non-food production index between Botswana and Chad?
- 12.26 gross, 1999-2001 = 100, with Chad ahead.
- How many years of comparable data are there for Botswana and Chad?
- 51 years are reported by both, from 1961 to 2011.
- How do Botswana and Chad rank globally for non-food production index?
- Botswana ranks 50th and Chad ranks 49th of 51 countries.
- Where does this data come from?
- Food and Agriculture Organization, Production Yearbook and data files, published as Non-food production index (gross, 1999-2001 = 100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Non-food production index covers non-food items. 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. It 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 indices are calculated from production data presented on a calendar year basis. Aggregates are the sum of available data.