Kenya vs Uzbekistan: Value Added (Agriculture) — Value US$
Value Added (Agriculture) — Value US$ over time
- Kenya
- Uzbekistan
How they compare
Kenya currently reports 20,940 million USD against 20,216 million USD in Uzbekistan, a difference of 724 million USD.
The two have swapped places 1 time across 14 shared years of data; in 2010 it was Uzbekistan ahead.
Kenya ranks 14th and Uzbekistan ranks 15th of 79 countries.
Across the 2 decades both report, Kenya averaged higher in 1 and Uzbekistan in 1.
Head to head by decade
| Decade | Kenya | Uzbekistan | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 12,437 million USD | 18,355 million USD | 5,919 million USD | Uzbekistan |
| 2020s | 20,971 million USD | 17,355 million USD | 3,616 million USD | Kenya |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher value added (agriculture) — value us$, Kenya or Uzbekistan?
- Kenya, at 20,940 million USD against 20,216 million USD in Uzbekistan as of 2023.
- What is the difference in value added (agriculture) — value us$ between Kenya and Uzbekistan?
- 724 million USD, with Kenya ahead.
- How many years of comparable data are there for Kenya and Uzbekistan?
- 14 years are reported by both, from 2010 to 2023.
- How do Kenya and Uzbekistan rank globally for value added (agriculture) — value us$?
- Kenya ranks 14th and Uzbekistan ranks 15th of 79 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Value Added (Agriculture) — Value US$. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).