Seychelles vs Yemen Ar Rp: Gross National Income — Value US$
Gross National Income — Value US$ over time
- Seychelles
- Yemen Ar Rp
How they compare
Seychelles currently reports 2,124 million USD against 1,945 million USD in Yemen Ar Rp, a difference of 179 million USD.
That makes Seychelles's figure about 1.1 times Yemen Ar Rp's.
Across all 19 years both countries report, Yemen Ar Rp has been ahead every year.
Seychelles ranks 177th and Yemen Ar Rp ranks 178th of 203 countries.
Yemen Ar Rp has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Seychelles | Yemen Ar Rp | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 60.94 million USD | 825.36 million USD | 764.42 million USD | Yemen Ar Rp |
| 1980s | 214.19 million USD | 1,676 million USD | 1,462 million USD | Yemen Ar Rp |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross national income — value us$, Seychelles or Yemen Ar Rp?
- Seychelles, at 2,124 million USD against 1,945 million USD in Yemen Ar Rp as of 2023.
- What is the difference in gross national income — value us$ between Seychelles and Yemen Ar Rp?
- 179 million USD, with Seychelles ahead.
- How many years of comparable data are there for Seychelles and Yemen Ar Rp?
- 19 years are reported by both, from 1970 to 1988.
- How do Seychelles and Yemen Ar Rp rank globally for gross national income — value us$?
- Seychelles ranks 177th and Yemen Ar Rp ranks 178th of 203 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Gross National Income — Value US$. 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).