Value Added (Manufacture of food, beverages and tobacco products) in Zimbabwe
Zimbabwe: Value Added (Manufacture of food, beverages and tobacco products) was 733.66 million SLC in 2013. ▲ Rising
Value Added (Manufacture of food, beverages and tobacco products) in Zimbabwe, 2009–2013
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Zimbabwe recorded 733.66 million SLC for value added (manufacture of food, beverages and tobacco products) in 2013. That is the highest value across all 5 years on record.
The figure is up 13.2% on the previous year and up 133.4% over five years.
Zimbabwe ranks 42nd of 46 countries on this measure, in the bottom quarter.
Value Added (Manufacture of food, beverages and tobacco products) in Zimbabwe, year by year
| Year | million SLC | Change |
|---|---|---|
| 2009 | 314.33 million SLC | — |
| 2010 | 262.87 million SLC | -16.4% |
| 2011 | 315.15 million SLC | +19.9% |
| 2012 | 647.99 million SLC | +105.6% |
| 2013 | 733.66 million SLC | +13.2% |
Zimbabwe compared with similar countries
- Zimbabwe's 733.66 million SLC is below the median for lower middle income countries, which is 566,134 million SLC, 0% of the median. (7 countries reporting)
- Zimbabwe's 733.66 million SLC is below the median for Sub-Saharan Africa, which is 61,340 million SLC, 1% of the median. (8 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 314.33 million SLC | 314.33 million SLC | 314.33 million SLC | 1 |
| 2010s | 489.92 million SLC | 262.87 million SLC | 733.66 million SLC | 4 |
Countries ranked near Zimbabwe
- 39 Trinidad and Tobago 2,614 million SLC
- 40 Bulgaria 1,469 million SLC
- 41 Puerto Rico 1,298 million SLC
- 43 Oman 173.49 million SLC
- 44 Montenegro 70.76 million SLC
- 45 Marshall Islands 5.35 million SLC
More agriculture & rural data for Zimbabwe
- Agriculture, forestry, and fishing, value added (current US$), annual 34.41 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0947 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 286.19 current US$ per person (2025)
- Rural population, annual growth rate 0.8815 % change on previous year (2025)
- Rural population, per unit of GDP 0.0002 units per US$ of GDP (2025)
- Rural population, per capita 0.595 units per person (2025)
- Share of GDP from agriculture 9.5% (2025)
- Agriculture as a share of GDP vs. GDP per capita 9.5% (2025)
- Agricultural raw materials exports 0.9% (2024)
- Agricultural raw materials imports 0.3% (2024)
Frequently asked questions
- What is value added (manufacture of food, beverages and tobacco products) in Zimbabwe?
- Value added (manufacture of food, beverages and tobacco products) in Zimbabwe was 733.66 million SLC in 2013, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (manufacture of food, beverages and tobacco products) recorded in Zimbabwe?
- The highest recorded value was 733.66 million SLC in 2013.
- What is the lowest value added (manufacture of food, beverages and tobacco products) recorded in Zimbabwe?
- The lowest recorded value was 262.87 million SLC in 2010.
- How does Zimbabwe rank for value added (manufacture of food, beverages and tobacco products)?
- Zimbabwe ranks 42nd out of 46 countries with data for 2013.
- Where does this Zimbabwe data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Manufacture of food, beverages and tobacco products) — Value Standard Local Currency. Statizoid updates them automatically from the source API.
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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).