Eritrea vs Zimbabwe: Value Added (Total Manufacturing) — Value Standard Local Currency
Value Added (Total Manufacturing) — Value Standard Local Currency over time
- Eritrea
- Zimbabwe
How they compare
Eritrea currently reports 2,331 million SLC against 1,867 million SLC in Zimbabwe, a difference of 464 million SLC.
That makes Eritrea's figure about 1.2 times Zimbabwe's.
The two have swapped places 5 times across 34 shared years of data; in 1990 it was Zimbabwe ahead.
Eritrea ranks 147th and Zimbabwe ranks 150th of 194 countries.
Across the 4 decades both report, Eritrea averaged higher in 2 and Zimbabwe in 2.
Head to head by decade
| Decade | Eritrea | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1,584 million SLC | 1,809 million SLC | 224.86 million SLC | Zimbabwe |
| 2000s | 1,964 million SLC | 1,192 million SLC | 772.09 million SLC | Eritrea |
| 2010s | 1,949 million SLC | 2,367 million SLC | 417.66 million SLC | Zimbabwe |
| 2020s | 2,239 million SLC | 1,820 million SLC | 419.17 million SLC | Eritrea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher value added (total manufacturing) — value standard local currency, Eritrea or Zimbabwe?
- Eritrea, at 2,331 million SLC against 1,867 million SLC in Zimbabwe as of 2023.
- What is the difference in value added (total manufacturing) — value standard local currency between Eritrea and Zimbabwe?
- 464 million SLC, with Eritrea ahead.
- How many years of comparable data are there for Eritrea and Zimbabwe?
- 34 years are reported by both, from 1990 to 2023.
- How do Eritrea and Zimbabwe rank globally for value added (total manufacturing) — value standard local currency?
- Eritrea ranks 147th and Zimbabwe ranks 150th of 194 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Value Added (Total Manufacturing) — 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).