Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Tuvalu

Tuvalu: Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) was 0.29 million USD in 2023. ▲ Rising

Latest (2023)
0.29 million USD
Change on year
down 7.7%
World rank
180th
of 182 countries
All-time high
0.5944 million USD
in 2010
All-time low
0.1339 million USD
in 2004
Years of data
24
2000–2023

Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Tuvalu, 2000–2023

0.10.20.30.40.50.62000201120232000: 0.263 million USD2001: 0.236 million USD2002: 0.275 million USD2003: 0.31 million USD2004: 0.134 million USD2005: 0.192 million USD2006: 0.282 million USD2007: 0.343 million USD2008: 0.347 million USD2009: 0.523 million USD2010: 0.594 million USD2011: 0.322 million USD2012: 0.344 million USD2013: 0.303 million USD2014: 0.253 million USD2015: 0.331 million USD2016: 0.391 million USD2017: 0.264 million USD2018: 0.321 million USD2019: 0.241 million USD2020: 0.381 million USD2021: 0.316 million USD2022: 0.314 million USD2023: 0.29 million USD

Source: Food and Agriculture Organization of the United Nations. Measured in million USD.

Analysis

Tuvalu recorded 0.29 million USD for gross fixed capital formation (agriculture, forestry and fishing) in 2023.

That represents a change of down 7.7% on the previous year and down 4.4% over ten years.

Over the whole period, gross fixed capital formation (agriculture, forestry and fishing) in Tuvalu peaked at 0.5944 million USD in 2010 and was at its lowest, 0.1339 million USD, in 2004.

That places Tuvalu 180th out of 182 countries with data for 2023, putting it in the bottom quarter.

The long-run direction has been consistently rising across the 24 years of available data.

Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Tuvalu, year by year

Annual values for Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value US$, 2015 prices in Tuvalu, 2000 to 2023.
Year million USD Change
2000 0.2633 million USD
2001 0.2361 million USD -10.3%
2002 0.2752 million USD +16.6%
2003 0.3099 million USD +12.6%
2004 0.1339 million USD -56.8%
2005 0.1917 million USD +43.2%
2006 0.282 million USD +47.1%
2007 0.3435 million USD +21.8%
2008 0.3469 million USD +1.0%
2009 0.5229 million USD +50.7%
2010 0.5944 million USD +13.7%
2011 0.3218 million USD -45.9%
2012 0.3438 million USD +6.9%
2013 0.3034 million USD -11.8%
2014 0.2531 million USD -16.6%
2015 0.3313 million USD +30.9%
2016 0.3907 million USD +17.9%
2017 0.2641 million USD -32.4%
2018 0.3206 million USD +21.4%
2019 0.2415 million USD -24.7%
2020 0.381 million USD +57.8%
2021 0.3164 million USD -16.9%
2022 0.3141 million USD -0.7%
2023 0.29 million USD -7.7%

Averages by decade

DecadeAverage LowestHighest Years
2000s 0.2906 million USD 0.1339 million USD 0.5229 million USD 10
2010s 0.3365 million USD 0.2415 million USD 0.5944 million USD 10
2020s 0.3254 million USD 0.29 million USD 0.381 million USD 4

Countries ranked near Tuvalu

  1. 177 Turks and Caicos Islands 0.42 million USD compare
  2. 178 Palau 0.38 million USD compare
  3. 179 British Virgin Islands 0.3 million USD compare
  4. 181 Nauru 0.16 million USD compare
  5. 182 Anguilla 0.03 million USD compare

See the full ranking of 228 places →

More environment data for Tuvalu

All data for Tuvalu →

Frequently asked questions

What is gross fixed capital formation (agriculture, forestry and fishing) in Tuvalu?
Gross fixed capital formation (agriculture, forestry and fishing) in Tuvalu was 0.29 million USD in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest gross fixed capital formation (agriculture, forestry and fishing) recorded in Tuvalu?
The highest recorded value was 0.5944 million USD in 2010.
What is the lowest gross fixed capital formation (agriculture, forestry and fishing) recorded in Tuvalu?
The lowest recorded value was 0.1339 million USD in 2004.
How does Tuvalu rank for gross fixed capital formation (agriculture, forestry and fishing)?
Tuvalu ranks 180th out of 182 countries with data for 2023.
Is gross fixed capital formation (agriculture, forestry and fishing) rising or falling in Tuvalu?
Over the last ten years it is down 4.4%. The long-run trend across the full record is rising.
Where does this Tuvalu data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value US$, 2015 prices. Statizoid updates them automatically from the source API.

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Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in Tuvalu. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 02 September 2026, from https://environment.statizoid.com/stat/gross-fixed-capital-formation-agriculture-forestry-and-fishing-value-us-2015-prices/tuvalu/

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About this data

Indicator
Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Value US$, 2015 prices
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
228 places, 6,512 data points, 1995–2023
Last refreshed

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.