In 2024, the exports of agricultural commodities from Japan were valued at around ***** billion Japanese yen, an increase from about 905.9 billion in the previous year. Agricultural goods made up the majority of primary sector products exported from Japan.

In 2024, around **** trillion Japanese yen worth of agricultural commodities were imported to Japan. This indicated an increase compared to about *** trillion yen in 2014. Agricultural imports made up the majority of primary sector imports to Japan. Since Japan's self-sufficiency ratio remains low, the country depends on agricultural imports to feed the nation.  Obstacles for farming in Japan Even though only about 20 percent of the island nation is suitable for cultivation, Japanese farmland is intensively farmed, with rice paddies and fields occupying most of the countryside. Crop production generates the highest output in the agricultural farming industry, while livestock farming only plays a minor role. Japan's geography further complicates farming as the land regularly suffers from damages by natural disasters such as typhoons, earthquakes, and tsunamis.  The situation of sustainable farming in Japan Sustainable farming still plays a minor role in the Japanese agricultural sector. In recent years, however, both the area of certified organic farmland as well as the production volume of certified organic produce has been increasing. Vegetables by far made up most certified organic produce. The growing demand indicates an increasing awareness of healthy and sustainably produced food among the Japanese population.

In 2023, **** percent of the value of products from the Japanese agriculture industry were exported to China, making it the largest destination for agricultural exports from Japan. The United States followed, with a share of over ** percent.

Forecast: Share of Budgetary Expenditure on Promotion of Agricultural Products in Japan 2024 - 2028 Discover more data with ReportLinker!

Japan JP: Imports: % of Goods Imports: Agricultural Raw Materials data was reported at 1.386 % in 2017. This records a decrease from the previous number of 1.458 % for 2016. Japan JP: Imports: % of Goods Imports: Agricultural Raw Materials data is updated yearly, averaging 6.670 % from Dec 1962 (Median) to 2017, with 56 observations. The data reached an all-time high of 23.729 % in 1963 and a record low of 1.311 % in 2014. Japan JP: Imports: % of Goods Imports: Agricultural Raw Materials data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Imports. Agricultural raw materials comprise SITC section 2 (crude materials except fuels) excluding divisions 22, 27 (crude fertilizers and minerals excluding coal, petroleum, and precious stones), and 28 (metalliferous ores and scrap).; ; World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.; Weighted Average; Merchandise import shares may not sum to 100 percent because of unclassified trade.

Abstract

Syngenta is committed to increasing crop productivity and to using limited resources such as land, water and inputs more efficiently. Since 2014, Syngenta has been measuring trends in agricultural input efficiency on a global network of real farms. The Good Growth Plan dataset shows aggregated productivity and resource efficiency indicators by harvest year. The data has been collected from more than 4,000 farms and covers more than 20 different crops in 46 countries. The data (except USA data and for Barley in UK, Germany, Poland, Czech Republic, France and Spain) was collected, consolidated and reported by Kynetec (previously Market Probe), an independent market research agency. It can be used as benchmarks for crop yield and input efficiency.

Geographic coverage

National coverage

Analysis unit

Agricultural holdings

Kind of data

Sample survey data [ssd]

Sampling procedure

A. Sample design Farms are grouped in clusters, which represent a crop grown in an area with homogenous agro- ecological conditions and include comparable types of farms. The sample includes reference and benchmark farms. The reference farms were selected by Syngenta and the benchmark farms were randomly selected by Kynetec within the same cluster.

B. Sample size Sample sizes for each cluster are determined with the aim to measure statistically significant increases in crop efficiency over time. This is done by Kynetec based on target productivity increases and assumptions regarding the variability of farm metrics in each cluster. The smaller the expected increase, the larger the sample size needed to measure significant differences over time. Variability within clusters is assumed based on public research and expert opinion. In addition, growers are also grouped in clusters as a means of keeping variances under control, as well as distinguishing between growers in terms of crop size, region and technological level. A minimum sample size of 20 interviews per cluster is needed. The minimum number of reference farms is 5 of 20. The optimal number of reference farms is 10 of 20 (balanced sample).

C. Selection procedure The respondents were picked randomly using a “quota based random sampling” procedure. Growers were first randomly selected and then checked if they complied with the quotas for crops, region, farm size etc. To avoid clustering high number of interviews at one sampling point, interviewers were instructed to do a maximum of 5 interviews in one village.

BF Screened from Japan were selected based on the following criterion: Location: Hokkaido Tokachi (JA Memuro, JA Otofuke, JA Tokachi Shimizu, JA Obihiro Taisho) --> initially focus on Memuro, Otofuke, Tokachi Shimizu, Obihiro Taisho // Added locations in GGP 2015 due to change of RF: Obhiro, Kamikawa, Abashiri
BF: no use of in furrow application (Amigo) - no use of Amistar

Contract farmers of snacks and other food companies --> screening question: 'Do you have quality contracts in place with snack and food companies for your potato production? Y/N --> if no, screen out

Increase of marketable yield --> screening question: 'Are you interested in growing branded potatoes (premium potatoes for processing industry)? Y/N --> if no, screen out

Potato growers for process use
Background info: No mention of Syngenta Background info: - Labor cost is very serious issue: In general, labor cost in Japan is very high. Growers try to reduce labor cost by mechanization. Percentage of labor cost in production cost. They would like to manage cost of labor - Quality and yield driven

Mode of data collection

Face-to-face [f2f]

Research instrument

Data collection tool for 2019 covered the following information:

(A) PRE- HARVEST INFORMATION

PART I: Screening PART II: Contact Information PART III: Farm Characteristics a. Biodiversity conservation b. Soil conservation c. Soil erosion d. Description of growing area e. Training on crop cultivation and safety measures PART IV: Farming Practices - Before Harvest a. Planting and fruit development - Field crops b. Planting and fruit development - Tree crops c. Planting and fruit development - Sugarcane d. Planting and fruit development - Cauliflower e. Seed treatment

(B) HARVEST INFORMATION

PART V: Farming Practices - After Harvest a. Fertilizer usage b. Crop protection products c. Harvest timing & quality per crop - Field crops d. Harvest timing & quality per crop - Tree crops e. Harvest timing & quality per crop - Sugarcane f. Harvest timing & quality per crop - Banana g. After harvest PART VI - Other inputs - After Harvest a. Input costs b. Abiotic stress c. Irrigation

See all questionnaires in external materials tab

Cleaning operations

Data processing:

Kynetec uses SPSS (Statistical Package for the Social Sciences) for data entry, cleaning, analysis, and reporting. After collection, the farm data is entered into a local database, reviewed, and quality-checked by the local Kynetec agency. In the case of missing values or inconsistencies, farmers are re-contacted. In some cases, grower data is verified with local experts (e.g. retailers) to ensure data accuracy and validity. After country-level cleaning, the farm-level data is submitted to the global Kynetec headquarters for processing. In the case of missing values or inconsistences, the local Kynetec office was re-contacted to clarify and solve issues.

Quality assurance Various consistency checks and internal controls are implemented throughout the entire data collection and reporting process in order to ensure unbiased, high quality data.

• Screening: Each grower is screened and selected by Kynetec based on cluster-specific criteria to ensure a comparable group of growers within each cluster. This helps keeping variability low.

• Evaluation of the questionnaire: The questionnaire aligns with the global objective of the project and is adapted to the local context (e.g. interviewers and growers should understand what is asked). Each year the questionnaire is evaluated based on several criteria, and updated where needed.

• Briefing of interviewers: Each year, local interviewers - familiar with the local context of farming -are thoroughly briefed to fully comprehend the questionnaire to obtain unbiased, accurate answers from respondents.

• Cross-validation of the answers: o Kynetec captures all growers' responses through a digital data-entry tool. Various logical and consistency checks are automated in this tool (e.g. total crop size in hectares cannot be larger than farm size) o Kynetec cross validates the answers of the growers in three different ways: 1. Within the grower (check if growers respond consistently during the interview) 2. Across years (check if growers respond consistently throughout the years) 3. Within cluster (compare a grower's responses with those of others in the group) o All the above mentioned inconsistencies are followed up by contacting the growers and asking them to verify their answers. The data is updated after verification. All updates are tracked.

• Check and discuss evolutions and patterns: Global evolutions are calculated, discussed and reviewed on a monthly basis jointly by Kynetec and Syngenta.

• Sensitivity analysis: sensitivity analysis is conducted to evaluate the global results in terms of outliers, retention rates and overall statistical robustness. The results of the sensitivity analysis are discussed jointly by Kynetec and Syngenta.

• It is recommended that users interested in using the administrative level 1 variable in the location dataset use this variable with care and crosscheck it with the postal code variable.

Data appraisal

Due to the above mentioned checks, irregularities in fertilizer usage data were discovered which had to be corrected:

For data collection wave 2014, respondents were asked to give a total estimate of the fertilizer NPK-rates that were applied in the fields. From 2015 onwards, the questionnaire was redesigned to be more precise and obtain data by individual fertilizer products. The new method of measuring fertilizer inputs leads to more accurate results, but also makes a year-on-year comparison difficult. After evaluating several solutions to this problems, 2014 fertilizer usage (NPK input) was re-estimated by calculating a weighted average of fertilizer usage in the following years.

Exports of Agriculture-use Machinery, Global Total in Japan increased to 31101.52 JPY Million in February from 19548.41 JPY Million in January of 2024. This dataset includes a chart with historical data for Japan Exports of Agriculture-use Machinery, Global Total.

In 2023, over 20 percent of imported agricultural products came from the United States, making the United States the largest supplier of agricultural goods to Japan. China followed, with an import share of over ten percent.

Japan JP: GDP: Growth: Gross Value Added: Agriculture data was reported at -13.107 % in 2016. This records a decrease from the previous number of -4.822 % for 2015. Japan JP: GDP: Growth: Gross Value Added: Agriculture data is updated yearly, averaging -1.018 % from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 7.489 % in 2008 and a record low of -13.107 % in 2016. Japan JP: GDP: Growth: Gross Value Added: Agriculture data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for agricultural value added based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3 or 4.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

Forecast: Import of Dryers for Agricultural Products to Japan 2024 - 2028 Discover more data with ReportLinker!

In 2022, around **** million tons of rice were produced in Japan, making rice the most commonly cultivated crop within the Japanese farming industry. The agricultural product with the second highest output was paddy field rice, followed by sugar beats.

Comprehensive dataset of 1 Agricultural product wholesalers in Miyagi, Japan as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Japan IMPI: Yen: FF: Edible ALF: Other Agricultural Products data was reported at 79.000 1995=100 in Nov 2002. This records a decrease from the previous number of 80.000 1995=100 for Oct 2002. Japan IMPI: Yen: FF: Edible ALF: Other Agricultural Products data is updated monthly, averaging 95.800 1995=100 from Jan 1995 (Median) to Nov 2002, with 95 observations. The data reached an all-time high of 136.200 1995=100 in May 1997 and a record low of 73.000 1995=100 in Nov 2000. Japan IMPI: Yen: FF: Edible ALF: Other Agricultural Products data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.I279: Import Price Index: 1995=100.

Japan IMPI: Yen: FF: PR: Processed Agricultural Products (PA) data was reported at 95.700 1995=100 in Nov 2002. This records a decrease from the previous number of 96.100 1995=100 for Oct 2002. Japan IMPI: Yen: FF: PR: Processed Agricultural Products (PA) data is updated monthly, averaging 99.900 1995=100 from Jan 1995 (Median) to Nov 2002, with 95 observations. The data reached an all-time high of 122.200 1995=100 in Aug 1998 and a record low of 80.800 1995=100 in Dec 1999. Japan IMPI: Yen: FF: PR: Processed Agricultural Products (PA) data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.I279: Import Price Index: 1995=100.

We compiled 140 years of annual production, cultivated area, and yield records for six major crops (rice, wheat, barley, soybean, potato, and sweet potato) across all 47 prefectures from the national statistics of the Ministry of Agriculture, Forestry and Fisheries and its predecessors for the period 1883–2022. This comprehensive dataset enables analysis of long-term trends in crop productivity influenced by advances in genetics, breeding techniques, and changes in agricultural policy and practice. Furthermore, it supports investigations into the impacts of climate variability on agriculture over more than a century. The high temporal and spatial resolution of this dataset makes it a valuable resource for researchers aiming to understand the interplay between environmental change and food production in Japan.The data can be downloaded in one archive file (CropProduction_JP_1883-2022.zip), which contains four data sets: CropProduction_JP_1883-2022.csv : crop production between 1883 and 2022Japanese_Calendar.csv : The Japanese calendar systemPrefecture_Code.csv : The prefecture codes as a CSV spreadsheet CropProduction_JP_DataSources.xlsx. : Data sources as an Excel file.Since 1947, the Ministry of Agriculture, Forestry and Fisheries and its predecessors have conducted an annual crop statistical survey. The data sources are listed in the Excel file CropProduction_JP_DataSources.xlsx. The data from the oldest sources were compiled under the Japanese calendar system; in our dataset, the four Japanese eras are expressed using the first letter of their names (M, Meiji; T, Taisho; S, Showa; H, Heisei; and R, Reiwa). The years were converted to the Western calendar system (Japanese_Calendar.csv). Data were identified by original codes developed by us for this database corresponding to the 47 prefectures and 10 regions (Hokkaido, Tohoku, Hokuriku, Kanto-Tozan, Tokai, Kinki, Chugoku, Shikoku, Kyushu, and Okinawa) in Japan (Prefecture_Code.csv).

Comprehensive dataset of 1 Agricultural product wholesalers in Fukui, Japan as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Thailand Exports: USD: Japan: Agricultural Products data was reported at 281.418 USD mn in Jun 2018. This records an increase from the previous number of 268.808 USD mn for May 2018. Thailand Exports: USD: Japan: Agricultural Products data is updated monthly, averaging 187.159 USD mn from Oct 1990 (Median) to Jun 2018, with 333 observations. The data reached an all-time high of 407.339 USD mn in Jul 2011 and a record low of 90.502 USD mn in Jun 1991. Thailand Exports: USD: Japan: Agricultural Products data remains active status in CEIC and is reported by Ministry of Commerce. The data is categorized under Global Database’s Thailand – Table TH.JA003: Trade Statistics: By Country: USD.

Indonesia Exports of agricultural for soil preparation to Japan was US$6.3 Thousand during 2023, according to the United Nations COMTRADE database on international trade. Indonesia Exports of agricultural for soil preparation to Japan - data, historical chart and statistics - was last updated on June of 2025.

Comprehensive dataset of 3 Agricultural product wholesalers in Gifu, Japan as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Forecast: Budgetary Expenditure on Agricultural Product Safety and Inspection in Japan 2024 - 2028 Discover more data with ReportLinker!