Lithuania vs Peru: Food and Accommodation Away From Home (FAAFH) — Transportation and
Food and Accommodation Away From Home (FAAFH) — Transportation and over time
- Lithuania
- Peru
How they compare
Peru currently reports 15.28 % against 14.55 % in Lithuania, a difference of 0.73 %.
That makes Peru's figure about 1.1 times Lithuania's.
The two have swapped places 1 time across 11 shared years of data; in 2005 it was Lithuania ahead.
Lithuania ranks 52nd and Peru ranks 51st of 63 countries.
Across the 2 decades both report, Lithuania averaged higher in 1 and Peru in 1.
Head to head by decade
| Decade | Lithuania | Peru | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 19.69 % | 16.1 % | 3.59 % | Lithuania |
| 2010s | 15.13 % | 15.55 % | 0.4221 % | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher food and accommodation away from home (faafh) — transportation and, Lithuania or Peru?
- Peru, at 15.28 % against 14.55 % in Lithuania as of 2015.
- What is the difference in food and accommodation away from home (faafh) — transportation and between Lithuania and Peru?
- 0.73 %, with Peru ahead.
- How many years of comparable data are there for Lithuania and Peru?
- 11 years are reported by both, from 2005 to 2015.
- How do Lithuania and Peru rank globally for food and accommodation away from home (faafh) — transportation and?
- Lithuania ranks 52nd and Peru ranks 51st of 63 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Food and Accommodation Away From Home (FAAFH) — Transportation and storage — Labour — Factor share. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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).