Nepal vs Uganda: Gross Output (Agriculture, Forestry and Fishing) — Value US$, 2015
Gross Output (Agriculture, Forestry and Fishing) — Value US$, 2015 over time
- Nepal
- Uganda
How they compare
Nepal currently reports 10,502 million USD against 10,146 million USD in Uganda, a difference of 356 million USD.
Across all 13 years both countries report, Nepal has been ahead every year.
Nepal ranks 40th and Uganda ranks 41st of 106 countries.
Nepal has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Nepal | Uganda | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 8,310 million USD | 7,594 million USD | 716.73 million USD | Nepal |
| 2020s | 10,088 million USD | 9,619 million USD | 469.15 million USD | Nepal |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross output (agriculture, forestry and fishing) — value us$, 2015, Nepal or Uganda?
- Nepal, at 10,502 million USD against 10,146 million USD in Uganda as of 2023.
- What is the difference in gross output (agriculture, forestry and fishing) — value us$, 2015 between Nepal and Uganda?
- 356 million USD, with Nepal ahead.
- How many years of comparable data are there for Nepal and Uganda?
- 13 years are reported by both, from 2011 to 2023.
- How do Nepal and Uganda rank globally for gross output (agriculture, forestry and fishing) — value us$, 2015?
- Nepal ranks 40th and Uganda ranks 41st of 106 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Gross Output (Agriculture, Forestry and Fishing) — Value US$, 2015 prices. 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).