Panama vs Senegal: Value Added (Total Manufacturing) — Value US$
Value Added (Total Manufacturing) — Value US$ over time
- Panama
- Senegal
How they compare
Senegal currently reports 4,482 million USD against 3,903 million USD in Panama, a difference of 579 million USD.
That makes Senegal's figure about 1.1 times Panama's.
The two have swapped places 5 times across 54 shared years of data; in 1970 it was Panama ahead.
Panama ranks 106th and Senegal ranks 104th of 220 countries.
Across the 6 decades both report, Panama averaged higher in 1 and Senegal in 5.
Head to head by decade
| Decade | Panama | Senegal | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 351 million USD | 418.09 million USD | 67.09 million USD | Senegal |
| 1980s | 769.16 million USD | 1,004 million USD | 234.9 million USD | Senegal |
| 1990s | 1,007 million USD | 1,525 million USD | 518.01 million USD | Senegal |
| 2000s | 1,248 million USD | 2,060 million USD | 811.34 million USD | Senegal |
| 2010s | 3,188 million USD | 3,178 million USD | 9.17 million USD | Panama |
| 2020s | 3,603 million USD | 4,117 million USD | 514.01 million USD | Senegal |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher value added (total manufacturing) — value us$, Panama or Senegal?
- Senegal, at 4,482 million USD against 3,903 million USD in Panama as of 2023.
- What is the difference in value added (total manufacturing) — value us$ between Panama and Senegal?
- 579 million USD, with Senegal ahead.
- How many years of comparable data are there for Panama and Senegal?
- 54 years are reported by both, from 1970 to 2023.
- How do Panama and Senegal rank globally for value added (total manufacturing) — value us$?
- Panama ranks 106th and Senegal ranks 104th of 220 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Value Added (Total Manufacturing) — Value US$. 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).