Azerbaijan vs Eswatini: Value Added (Agriculture, Forestry and Fishing) — Value Standard
Value Added (Agriculture, Forestry and Fishing) — Value Standard over time
- Azerbaijan
- Eswatini
How they compare
Eswatini currently reports 4,749 million SLC against 4,582 million SLC in Azerbaijan, a difference of 167 million SLC.
Across all 34 years both countries report, Eswatini has been ahead every year.
Azerbaijan ranks 119th and Eswatini ranks 117th of 191 countries.
Eswatini has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Azerbaijan | Eswatini | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1,785 million SLC | 2,584 million SLC | 798.9 million SLC | Eswatini |
| 2000s | 2,370 million SLC | 3,863 million SLC | 1,493 million SLC | Eswatini |
| 2010s | 3,328 million SLC | 4,516 million SLC | 1,188 million SLC | Eswatini |
| 2020s | 4,367 million SLC | 4,516 million SLC | 149.19 million SLC | Eswatini |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher value added (agriculture, forestry and fishing) — value standard, Azerbaijan or Eswatini?
- Eswatini, at 4,749 million SLC against 4,582 million SLC in Azerbaijan as of 2024.
- What is the difference in value added (agriculture, forestry and fishing) — value standard between Azerbaijan and Eswatini?
- 167 million SLC, with Eswatini ahead.
- How many years of comparable data are there for Azerbaijan and Eswatini?
- 34 years are reported by both, from 1991 to 2024.
- How do Azerbaijan and Eswatini rank globally for value added (agriculture, forestry and fishing) — value standard?
- Azerbaijan ranks 119th and Eswatini ranks 117th of 191 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 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).