Value Added (Agriculture, Forestry and Fishing) — Value Standard in Romania
Romania: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 34,880 million SLC in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Romania, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value standard in Romania is 34,880 million SLC, measured in 2024.
That represents a change of down 5.9% on the previous year and down 0.5% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Romania peaked at 42,095 million SLC in 2004 and was at its lowest, 18,936 million SLC, in 1970.
That places Romania 88th out of 191 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Romania, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 18,936 million SLC | — |
| 1971 | 24,806 million SLC | +31.0% |
| 1972 | 26,510 million SLC | +6.9% |
| 1973 | 25,185 million SLC | -5.0% |
| 1974 | 24,617 million SLC | -2.3% |
| 1975 | 24,427 million SLC | -0.8% |
| 1976 | 31,244 million SLC | +27.9% |
| 1977 | 29,919 million SLC | -4.2% |
| 1978 | 30,676 million SLC | +2.5% |
| 1979 | 31,434 million SLC | +2.5% |
| 1980 | 29,161 million SLC | -7.2% |
| 1981 | 29,222 million SLC | +0.2% |
| 1982 | 30,557 million SLC | +4.6% |
| 1983 | 30,193 million SLC | -1.2% |
| 1984 | 33,776 million SLC | +11.9% |
| 1985 | 33,581 million SLC | -0.6% |
| 1986 | 31,820 million SLC | -5.2% |
| 1987 | 30,442 million SLC | -4.3% |
| 1988 | 32,104 million SLC | +5.5% |
| 1989 | 29,927 million SLC | -6.8% |
| 1990 | 41,090 million SLC | +37.3% |
| 1991 | 36,018 million SLC | -12.3% |
| 1992 | 31,364 million SLC | -12.9% |
| 1993 | 35,643 million SLC | +13.6% |
| 1994 | 36,678 million SLC | +2.9% |
| 1995 | 38,375 million SLC | +4.6% |
| 1996 | 37,240 million SLC | -3.0% |
| 1997 | 37,206 million SLC | -0.1% |
| 1998 | 32,941 million SLC | -11.5% |
| 1999 | 33,644 million SLC | +2.1% |
| 2000 | 27,876 million SLC | -17.1% |
| 2001 | 35,731 million SLC | +28.2% |
| 2002 | 33,684 million SLC | -5.7% |
| 2003 | 35,474 million SLC | +5.3% |
| 2004 | 42,095 million SLC | +18.7% |
| 2005 | 34,880 million SLC | -17.1% |
| 2006 | 36,051 million SLC | +3.4% |
| 2007 | 26,480 million SLC | -26.5% |
| 2008 | 32,706 million SLC | +23.5% |
| 2009 | 32,008 million SLC | -2.1% |
| 2010 | 27,454 million SLC | -14.2% |
| 2011 | 32,012 million SLC | +16.6% |
| 2012 | 24,299 million SLC | -24.1% |
| 2013 | 32,376 million SLC | +33.2% |
| 2014 | 35,061 million SLC | +8.3% |
| 2015 | 31,537 million SLC | -10.1% |
| 2016 | 32,234 million SLC | +2.2% |
| 2017 | 36,283 million SLC | +12.6% |
| 2018 | 40,333 million SLC | +11.2% |
| 2019 | 40,152 million SLC | -0.4% |
| 2020 | 34,013 million SLC | -15.3% |
| 2021 | 39,341 million SLC | +15.7% |
| 2022 | 33,801 million SLC | -14.1% |
| 2023 | 37,061 million SLC | +9.6% |
| 2024 | 34,880 million SLC | -5.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 26,775 million SLC | 18,936 million SLC | 31,434 million SLC | 10 |
| 1980s | 31,078 million SLC | 29,161 million SLC | 33,776 million SLC | 10 |
| 1990s | 36,020 million SLC | 31,364 million SLC | 41,090 million SLC | 10 |
| 2000s | 33,698 million SLC | 26,480 million SLC | 42,095 million SLC | 10 |
| 2010s | 33,174 million SLC | 24,299 million SLC | 40,333 million SLC | 10 |
| 2020s | 35,819 million SLC | 33,801 million SLC | 39,341 million SLC | 5 |
Countries ranked near Romania
More environment data for Romania
- Historical exposure to drought — Land soil moisture anomaly -4.68 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -5.2 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.634 °C (2025)
- Temperature change 2.03 °C (2025)
- Sawnwood, non-coniferous — Export quantity, annual growth rate 20 % change on previous year (2024)
- Sawnwood, non-coniferous — Export quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood, non-coniferous — Export quantity, per capita 0.0315 m3 per person (2024)
- Sawnwood, non-coniferous — Export value, annual growth rate 1.98 % change on previous year (2024)
- Sawnwood, non-coniferous — Export value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Romania?
- Value added (agriculture, forestry and fishing) — value standard in Romania was 34,880 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Romania?
- The highest recorded value was 42,095 million SLC in 2004.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Romania?
- The lowest recorded value was 18,936 million SLC in 1970.
- How does Romania rank for value added (agriculture, forestry and fishing) — value standard?
- Romania ranks 88th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Romania?
- Over the last ten years it is down 0.5%. The long-run trend across the full record is rising.
- Where does this Romania data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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).