Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry in South Africa
South Africa: Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry was 95.84 million SLC in 2015. ▲ Rising
Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry in South Africa, 2005–2015
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for food and accommodation away from home (faafh) — agriculture, forestry in South Africa is 95.84 million SLC, measured in 2015.
The figure is up 10.6% on the previous year and up 312.0% over ten years.
Over the whole period, food and accommodation away from home (faafh) — agriculture, forestry in South Africa peaked at 98.4 million SLC in 2011 and was at its lowest, 23.26 million SLC, in 2005.
South Africa ranks 20th of 60 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 11 years of available data.
Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry in South Africa, year by year
| Year | million SLC | Change |
|---|---|---|
| 2005 | 23.26 million SLC | — |
| 2006 | 32.33 million SLC | +39.0% |
| 2007 | 37.94 million SLC | +17.4% |
| 2008 | 34.88 million SLC | -8.1% |
| 2009 | 29.57 million SLC | -15.2% |
| 2010 | 57.89 million SLC | +95.8% |
| 2011 | 98.4 million SLC | +70.0% |
| 2012 | 97.93 million SLC | -0.5% |
| 2013 | 87.33 million SLC | -10.8% |
| 2014 | 86.65 million SLC | -0.8% |
| 2015 | 95.84 million SLC | +10.6% |
South Africa compared with similar countries
- South Africa's 95.84 million SLC is below the median for upper middle income countries, which is 419.07 million SLC, 23% of the median. (12 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 31.6 million SLC | 23.26 million SLC | 37.94 million SLC | 5 |
| 2010s | 87.34 million SLC | 57.89 million SLC | 98.4 million SLC | 6 |
Countries ranked near South Africa
More environment data for South Africa
- Historical exposure to drought — Land soil moisture anomaly 5.46 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 8.52 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.275 °C (2025)
- Temperature change 1.05 °C (2025)
- Cooling Degree Days, annual growth rate 15.68 % change on previous year (2024)
- Heating Degree Days, gaps filled 1,439 (2024)
- Heating Degree Days, per unit of GDP 0 units per US$ of GDP (2024)
- Heating Degree Days, per capita 0 units per person (2024)
- Value Added Deflator (Agriculture, forestry and fishery) — Value 26.72 % change on previous year (2024)
Frequently asked questions
- What is food and accommodation away from home (faafh) — agriculture, forestry in South Africa?
- Food and accommodation away from home (faafh) — agriculture, forestry in South Africa was 95.84 million SLC in 2015, according to Food and Agriculture Organization of the United Nations.
- What is the highest food and accommodation away from home (faafh) — agriculture, forestry recorded in South Africa?
- The highest recorded value was 98.4 million SLC in 2011.
- What is the lowest food and accommodation away from home (faafh) — agriculture, forestry recorded in South Africa?
- The lowest recorded value was 23.26 million SLC in 2005.
- How does South Africa rank for food and accommodation away from home (faafh) — agriculture, forestry?
- South Africa ranks 20th out of 60 countries with data for 2015.
- Is food and accommodation away from home (faafh) — agriculture, forestry rising or falling in South Africa?
- Over the last ten years it is up 312.0%. The long-run trend across the full record is rising.
- Where does this South Africa data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Food and Accommodation Away From Home (FAAFH) — Agriculture, Forestry and Fishing — Taxes — Value SLC, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 11 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
This domain contains data on three food value measures, namely: (1) Food At Home (FAH); (2) Food and Tobacco at Home (FTAH); (3) Food and Accommodation Away From Home (FAAFH), disaggregated by four primary factors (Operating Surplus, Labor, Taxes, Imports) and by five food value chain industries (Agriculture, Forestry and Fishing; Manufacture of food, beverages and tobacco products; Transportation and storage; Wholesale and retail trade; Accommodation and food service activities). The three food value measures differ for the bundle of goods and services they account for. In particular, the FAH refers to domestic expenditures of personal consumption for food consumed at home, at purchaser prices. The FTAH measure is similar in its target, but it refers to a broader set of economic goods, inclusive of tobacco, as food and tobacco expenditures are not always separable in the original data. On the other side, the FAAFH refers to domestic expenditures of personal consumption for food consumed away from home (e.g. in restaurants), at purchaser prices, and it also includes expenditures for accommodation in all the cases where the two types of expenditures were not separable in the original data. The values of industry decomposition measure the food production value-added distribution across different industries and factors involved in the agri-food value chain. All these estimates are based on Leontief Input Ouput modeling and Industry reduction method. The Food Value Chain domain aims to supply informaiton relevant for the SDG 12 - sustainable consumption and production patterns, SDG 2 - zero hunger and SDG 1 - no poverty, that constitue guiding SDGs in the FAO Strategic Framework 2022-2031 and its better production pillar. More in general they may inform national, regional and global food policy, including measures in the World Food Summit framework. Data are collected from national Supply and Use Tables (SUTs) and Industry by Industry Input Output tables (IOTs), via OECD database or NSOs. All input data are in line with the System of National Accounts (SNA) and main international classifications and standards related to environmental-economic accounting (respectively the System of Environmental-Economic Accounting for Agriculture, Forestry and Fisheries, SEEA AFF, and the International Standard Industrial Classification of All Economic Activities, ISIC).