Paraguay vs United Republic of Tanzania: Forestry, Recurrent (central government expenditure) — Value Standard
Forestry, Recurrent (central government expenditure) — Value Standard over time
- Paraguay
- United Republic of Tanzania
How they compare
United Republic of Tanzania currently reports 49,792 million SLC against 32,690 million SLC in Paraguay, a difference of 17,102 million SLC.
That makes United Republic of Tanzania's figure about 1.5 times Paraguay's.
The two have swapped places 8 times across 16 shared years of data; in 2009 it was United Republic of Tanzania ahead.
Paraguay ranks 4th and United Republic of Tanzania ranks 2nd of 49 countries.
Across the 3 decades both report, Paraguay averaged higher in 1 and United Republic of Tanzania in 2.
Head to head by decade
| Decade | Paraguay | United Republic of Tanzania | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 4,290 million SLC | 37,558 million SLC | 33,268 million SLC | United Republic of Tanzania |
| 2010s | 8,818 million SLC | 13,971 million SLC | 5,153 million SLC | United Republic of Tanzania |
| 2020s | 33,957 million SLC | 31,959 million SLC | 1,998 million SLC | Paraguay |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher forestry, recurrent (central government expenditure) — value standard, Paraguay or United Republic of Tanzania?
- United Republic of Tanzania, at 49,792 million SLC against 32,690 million SLC in Paraguay as of 2024.
- What is the difference in forestry, recurrent (central government expenditure) — value standard between Paraguay and United Republic of Tanzania?
- 17,102 million SLC, with United Republic of Tanzania ahead.
- How many years of comparable data are there for Paraguay and United Republic of Tanzania?
- 16 years are reported by both, from 2009 to 2024.
- How do Paraguay and United Republic of Tanzania rank globally for forestry, recurrent (central government expenditure) — value standard?
- Paraguay ranks 4th and United Republic of Tanzania ranks 2nd of 49 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Forestry, Recurrent (central government expenditure) — Value Standard Local Currency. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The Statistics Division of FAO collects annually data on Government Expenditure on Agriculture through a questionnaire, which was developed in partnership with the International Monetary Fund (IMF). The IMF is the responsible institution for the Government Finance Statistics (GFS) methodology and annually collects GFS data, including Expenditure by Functions of Government (COFOG). The Classification of the Functions of Government (COFOG) is an international classification developed by Organisation for Economic Co-operation and Development (OECD) and published by the United Nations Statistical Division (UNSD), with the aim of categorise governments' functions according to their purposes. The FAO questionnaire aligns with Table 7 of the IMF GFS questionnaire, replicates the relevant aggregates and drills down to request additional detail related to Agriculture. The FAO dataset consists of a time series, from 2001 onwards, of Total Government Expenditure and expenditure in: Agriculture, Forestry, Fishing and Hunting, along with its three disaggregated subsectors of Agriculture, Forestry and Fishing; and Environmental Protection. In addition, expenditure in each detailed function are further disaggregated into Recurrent and Capital expenditure. Additional indicators include the Agriculture Share of Government Expenditure, and the Agriculture Orientation Index (ratio between the Agriculture Share of Government Expenditure and the Agriculture Value Added as Share of GDP). Data are reported for the highest level of government available (Consolidated general government, consolidated central government or budgetary central government) and are available for about 100 countries on a regular basis.