Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Dominican Republic
Dominican Republic: Net Capital Stocks (Agriculture, Forestry and Fishing) — Value was 118,300 million SLC in 2023. ▲ Rising
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Dominican Republic, 1995–2023
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for net capital stocks (agriculture, forestry and fishing) — value in Dominican Republic is 118,300 million SLC, measured in 2023. That is the highest value across all 29 years on record.
The figure is up 1.0% on the previous year and up 8.5% over ten years.
Over the whole period, net capital stocks (agriculture, forestry and fishing) — value in Dominican Republic peaked at 118,300 million SLC in 2023 and was at its lowest, 85,184 million SLC, in 1995.
That places Dominican Republic 76th out of 179 countries with data for 2023, putting it in the middle of the range.
The long-run direction has been consistently rising across the 29 years of available data.
Net Capital Stocks (Agriculture, Forestry and Fishing) — Value in Dominican Republic, year by year
| Year | million SLC | Change |
|---|---|---|
| 1995 | 85,184 million SLC | — |
| 1996 | 87,106 million SLC | +2.3% |
| 1997 | 89,842 million SLC | +3.1% |
| 1998 | 94,117 million SLC | +4.8% |
| 1999 | 101,062 million SLC | +7.4% |
| 2000 | 103,876 million SLC | +2.8% |
| 2001 | 105,990 million SLC | +2.0% |
| 2002 | 109,374 million SLC | +3.2% |
| 2003 | 110,791 million SLC | +1.3% |
| 2004 | 109,915 million SLC | -0.8% |
| 2005 | 108,305 million SLC | -1.5% |
| 2006 | 108,797 million SLC | +0.5% |
| 2007 | 110,867 million SLC | +1.9% |
| 2008 | 112,662 million SLC | +1.6% |
| 2009 | 111,853 million SLC | -0.7% |
| 2010 | 111,878 million SLC | +0.0% |
| 2011 | 111,047 million SLC | -0.7% |
| 2012 | 109,714 million SLC | -1.2% |
| 2013 | 109,010 million SLC | -0.6% |
| 2014 | 108,087 million SLC | -0.8% |
| 2015 | 108,348 million SLC | +0.2% |
| 2016 | 109,244 million SLC | +0.8% |
| 2017 | 110,651 million SLC | +1.3% |
| 2018 | 111,886 million SLC | +1.1% |
| 2019 | 113,450 million SLC | +1.4% |
| 2020 | 114,651 million SLC | +1.1% |
| 2021 | 115,983 million SLC | +1.2% |
| 2022 | 117,094 million SLC | +1.0% |
| 2023 | 118,300 million SLC | +1.0% |
Dominican Republic compared with similar countries
- Dominican Republic's 118,300 million SLC is above the median for upper middle income countries, which is 67,834 million SLC, 1.7× the median. (50 countries reporting)
- Dominican Republic's 118,300 million SLC is above the median for Latin America & Caribbean, which is 3,560 million SLC, 33.2× the median. (35 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 91,462 million SLC | 85,184 million SLC | 101,062 million SLC | 5 |
| 2000s | 109,243 million SLC | 103,876 million SLC | 112,662 million SLC | 10 |
| 2010s | 110,332 million SLC | 108,087 million SLC | 113,450 million SLC | 10 |
| 2020s | 116,507 million SLC | 114,651 million SLC | 118,300 million SLC | 4 |
Countries ranked near Dominican Republic
More environment data for Dominican Republic
- Historical exposure to drought — Land soil moisture anomaly -4.17 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -4.52 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.272 °C (2025)
- Temperature change 1.12 °C (2025)
- Nutrient potash K2O (total) — Agricultural Use, gaps filled 21,733 t (2024)
- Nutrient potash K2O (total) — Agricultural Use, annual growth rate 0 % change on previous year (2024)
- Country area — Area, annual growth rate 0 % change on previous year (2024)
- Country area — Area, per unit of GDP 0 1000 ha per US$ of GDP (2024)
- Country area — Area, per capita 0.0013 1000 ha per person (2024)
Frequently asked questions
- What is net capital stocks (agriculture, forestry and fishing) — value in Dominican Republic?
- Net capital stocks (agriculture, forestry and fishing) — value in Dominican Republic was 118,300 million SLC in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest net capital stocks (agriculture, forestry and fishing) — value recorded in Dominican Republic?
- The highest recorded value was 118,300 million SLC in 2023.
- What is the lowest net capital stocks (agriculture, forestry and fishing) — value recorded in Dominican Republic?
- The lowest recorded value was 85,184 million SLC in 1995.
- How does Dominican Republic rank for net capital stocks (agriculture, forestry and fishing) — value?
- Dominican Republic ranks 76th out of 179 countries with data for 2023.
- Is net capital stocks (agriculture, forestry and fishing) — value rising or falling in Dominican Republic?
- Over the last ten years it is up 8.5%. The long-run trend across the full record is rising.
- Where does this Dominican Republic data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Net Capital Stocks (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 29 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
As part of the FAO Agriculture Capital Stock (ACS) database, the Statistics Division of FAO publishes country-by-country data on physical investment in agriculture, forestry and fishing as measured by the System of National Accounts (SNA) concept of Gross Fixed Capital Formation (GFCF). Additional variables included in the ACS are Net and Gross Capital Stock, Consumption of Fixed Capital, the Agriculture Investment ratio, and the Gross Fixed Capital Formation Agriculture Orientation Index. The FAO Agriculture Capital Stock Database is an analytical database: whenever available, the database integrates official National Accounts data harvested from the UNSD National Accounts Main Aggregates Database (UNSD AMA) and the OECD Annual National Accounts Database (OECD ANA). The database is further supplemented by OECD Structural Analysis database (OECD STAN) and, in a few cases, data from country’s statistics websites. If the full set of official data is not available for any specific country, imputation methods are applied to obtain estimates over the complete time series. Many data points in ACS are estimated and are flagged as such; they do not represent official submissions by Member Countries. With a view of producing internationally comparable net capital stock estimates, the Perpetual Inventory Method (PIM) with a constant geometric depreciation rate is employed to impute missing data. The Perpetual Inventory Method is a well-established economic model to calculate Net Capital Stocks (NCS) and Consumption of Fixed Capital (CFC) from time series of Gross Fixed Capital Formation (GFCF). Specifically, annual measures of the NCS are obtained from cumulating historical series on physical investment flows and deducting the part of assets that are depreciated (the Consumption of Fixed Capital that occurs in every period). In order to implement the PIM, long time series on aggregate GFCF in agriculture, forestry and fishing is required.An attempt is made to rely as much as possible on National Accounts data published by the OECD and UNSD. When country data are partially or fully missing, econometric techniques to impute missing observations are employed. Depending on the pattern of data missingness for the countries, different imputation methods are applied (from among the ARIMAX, PANEL regression, and OLS approaches) for the data series from 1995 to 2022. The values of Agriculture Capital Stock related indicators for 2023, including Agriculture Investment Ratio, Agriculture Orientation Index, Net Capital Stock, Gross Fixed Capital Formation and Consumption of Fixed Capital, are estimated using the Holt-Winters (HW) method (Cipra et al., 1995). The HW method is an exponential smoothing method for forecasting the annual values of economic variables. In this context, the HW method relies on existing (historical) values of the Agriculture Capital Stock. The predicted value is an extrapolation of the historical values to the specified target date, which extends the timeline without considering seasonality in the annual series.All data series in the database are provided both in national currencies and in US dollars as well as in current prices and constant prices with base year 2015.