Latvia vs Nepal: Gross National Income — Value US$
Gross National Income — Value US$ over time
- Latvia
- Nepal
How they compare
Latvia currently reports 41,246 million USD against 40,956 million USD in Nepal, a difference of 290 million USD.
The two have swapped places 6 times across 33 shared years of data; in 1991 it was Latvia ahead.
Latvia ranks 95th and Nepal ranks 96th of 203 countries.
Across the 4 decades both report, Latvia averaged higher in 3 and Nepal in 1.
Head to head by decade
| Decade | Latvia | Nepal | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 6,253 million USD | 4,386 million USD | 1,867 million USD | Latvia |
| 2000s | 17,569 million USD | 8,951 million USD | 8,618 million USD | Latvia |
| 2010s | 28,474 million USD | 24,964 million USD | 3,510 million USD | Latvia |
| 2020s | 37,366 million USD | 37,806 million USD | 440.3 million USD | Nepal |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross national income — value us$, Latvia or Nepal?
- Latvia, at 41,246 million USD against 40,956 million USD in Nepal as of 2023.
- What is the difference in gross national income — value us$ between Latvia and Nepal?
- 290 million USD, with Latvia ahead.
- How many years of comparable data are there for Latvia and Nepal?
- 33 years are reported by both, from 1991 to 2023.
- How do Latvia and Nepal rank globally for gross national income — value us$?
- Latvia ranks 95th and Nepal ranks 96th of 203 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Gross National Income — Value US$. 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).