Graph and download economic data for Producer Price Index by Industry: Specialized Freight (Except Used Goods) Trucking, Local: Local Agricultural Products Trucking without Storage (PCU484220484220602) from Jun 2013 to Apr 2025 about used, freight, trucks, agriculture, production, goods, PPI, industry, price index, indexes, price, and USA.

From the perspective of agricultural industrialization, based on China’s provincial data from 2006 to 2022, it studies the impact of financial inclusion on farmers’ income. We have found that financial inclusion can effectively promote the growth of farmers’ income, and this effect shows the heterogeneity of different income structures, income levels, and regional types. More importantly, agricultural industrialization is an important mechanism for financial inclusion to promote farmers’ income growth. However, the interactive effect of financial inclusion and agricultural industrialization has not promoted the growth of farmers’ income, indicating that there are certain structural problems in the current development of financial inclusion. We suggest that the development of financial inclusion should aim at the agricultural industrialization based on division of labor and cooperation. It can focus on supporting the development of local leading industries with regional comparative advantages, guide farmers to enter the agricultural industry chain, and improve farmers’ opportunities to share economic results.

From the perspective of agricultural industrialization, based on China’s provincial data from 2006 to 2022, it studies the impact of financial inclusion on farmers’ income. We have found that financial inclusion can effectively promote the growth of farmers’ income, and this effect shows the heterogeneity of different income structures, income levels, and regional types. More importantly, agricultural industrialization is an important mechanism for financial inclusion to promote farmers’ income growth. However, the interactive effect of financial inclusion and agricultural industrialization has not promoted the growth of farmers’ income, indicating that there are certain structural problems in the current development of financial inclusion. We suggest that the development of financial inclusion should aim at the agricultural industrialization based on division of labor and cooperation. It can focus on supporting the development of local leading industries with regional comparative advantages, guide farmers to enter the agricultural industry chain, and improve farmers’ opportunities to share economic results.

Oregon’s Agricultural Water Quality Management Act (Act) was passed in 1993, with the input and support of the agricultural industry and the Oregon Board of Agriculture, to help farmers and ranchers address water pollution.This legislation is the foundation of the Oregon Department of Agriculture’s (ODA) Agricultural Water Quality Management Program(Program). The Act directed ODA to assist the industry in preventing and controlling pollution from agricultural sources. Working in partnership with Oregon’s 45 local Soil and Water Conservation Districts (SWCDs), ODA identified 38 watershed-based Agricultural Water Quality Management Areas(Management Areas) throughout the state. ODA Water Quality Specialists work with farmers, ranchers, community leaders, and other stakeholders who serve as Local Advisory Committee (LAC) members for each Management Area. Each LAC identifies local agricultural water quality problems and opportunities for improvement. The 38 resulting Agricultural Water Quality Management Area Plans (Area Plans) address agricultural water quality issues in Oregon. As the LACs helped create the plans, they also helped write Area Rules (regulations) for that Management Area. The regulations ensure that all landowners do their part to prevent and control water pollution. The Program is designed to help anyone engaged in agricultural activities prevent water pollution.

🇺🇸 United States English Oregon’s Agricultural Water Quality Management Act (Act) was passed in 1993, with the input and support of the agricultural industry and the Oregon Board of Agriculture, to help farmers and ranchers address water pollution.This legislation is the foundation of the Oregon Department of Agriculture’s (ODA) Agricultural Water Quality Management Program(Program). The Act directed ODA to assist the industry in preventing and controlling pollution from agricultural sources. Working in partnership with Oregon’s 45 local Soil and Water Conservation Districts (SWCDs), ODA identified 38 watershed-based Agricultural Water Quality Management Areas(Management Areas) throughout the state. ODA Water Quality Specialists work with farmers, ranchers, community leaders, and other stakeholders who serve as Local Advisory Committee (LAC) members for each Management Area. Each LAC identifies local agricultural water quality problems and opportunities for improvement. The 38 resulting Agricultural Water Quality Management Area Plans (Area Plans) address agricultural water quality issues in Oregon. As the LACs helped create the plans, they also helped write Area Rules (regulations) for that Management Area. The regulations ensure that all landowners do their part to prevent and control water pollution. The Program is designed to help anyone engaged in agricultural activities prevent water pollution.

The Local Food Marketing Practices Survey (LFMPS) is a dataset created by the U.S. Department of Agriculture's National Agricultural Statistics Service (NASS) to track marketing practices of farms selling locally or regionally produced agricultural food products. First conducted in 2015 and updated in 2020 as part of the Census of Agriculture, it provides benchmark data on direct-to-consumer and direct-to-intermediate-market sales, including revenue, channels (e.g., farmers' markets, CSAs, on-farm sales), and operational characteristics. Key features include exclusion of farms not engaged in local sales, detailed breakdowns of sales by state (e.g., California accounted for the largest share of direct sales in 2020), and insights into trends like the dominance of direct-to-consumer marketing (77% of operations in 2020). The dataset supports policy development, academic research, and industry analysis by quantifying the economic impact of local food systems. For example, in 2020, 147,307 operations generated $9.0 billion through direct marketing. Unique aspects include its focus on branded regional products and granular data on sales distribution (e.g., direct-to-consumer sales constituted 33% of total direct sales despite being the most common channel). Data is accessible via the NASS Quick Stats database.

Local Farmerplace App Market Outlook

As per our latest research, the global Local Farmerplace App market size reached USD 2.1 billion in 2024, reflecting a robust surge in adoption across both developed and emerging agricultural economies. The market is projected to expand at a CAGR of 14.7% from 2025 to 2033, with the market size expected to reach USD 6.5 billion by 2033. This remarkable growth trajectory is primarily driven by increasing digitalization in agriculture, rising consumer demand for traceable and fresh produce, and the growing need for efficient, transparent supply chains connecting farmers directly to end-users.

One of the key growth factors propelling the Local Farmerplace App market is the rapid advancement in mobile and web technologies, which has made it possible for small-scale farmers and agri-entrepreneurs to access broader markets without traditional intermediaries. The proliferation of smartphones and improved rural internet connectivity have significantly lowered the entry barriers for farmers to participate in digital marketplaces. These platforms enable farmers to list their produce, livestock, or equipment, facilitating direct transactions with consumers, retailers, and wholesalers. The convenience of real-time pricing, secure payment gateways, and logistics integration is further bolstering the adoption of these apps, especially in regions where traditional supply chains are fragmented or inefficient.

Another significant growth driver is the rising consumer awareness and preference for locally sourced, organic, and sustainably produced food. Consumers are increasingly seeking transparency regarding the origin of their food, and Local Farmerplace Apps provide a direct link between producer and buyer, ensuring traceability and authenticity. This trend is particularly prominent in urban centers, where demand for fresh produce delivered directly from farms is accelerating. Additionally, the integration of value-added services such as crop advisory, weather updates, and access to agri-inputs within these apps is enhancing their value proposition, making them indispensable tools for modern farmers seeking to optimize yields and profits.

Furthermore, government initiatives aimed at supporting digital agriculture and rural development are playing a crucial role in shaping the Local Farmerplace App market landscape. Several countries have launched policies and funding programs to promote the adoption of agri-tech solutions, including digital marketplaces. These measures are fostering innovation and encouraging startups to develop tailored platforms that address the unique needs of local farming communities. Collaboration between public and private sectors is also facilitating the creation of robust digital infrastructure, which is essential for scaling these platforms and ensuring their long-term sustainability.

From a regional perspective, Asia Pacific is emerging as the fastest-growing market for Local Farmerplace Apps, driven by the sheer size of its agricultural sector and the rapid pace of mobile technology adoption. North America and Europe, with their advanced digital ecosystems and high consumer demand for traceable produce, continue to hold significant market shares. Meanwhile, Latin America and the Middle East & Africa are witnessing gradual uptake, supported by growing investments in agri-tech and improvements in rural connectivity. The global landscape is thus characterized by both mature and nascent markets, each presenting unique opportunities and challenges for stakeholders in the Local Farmerplace App industry.

Platform Analysis

The Local Farmerplace App market by platform is segmented into iOS, Android, and Web-based applications. The Android segment currently dominates the market, accounting for over 55% of total downloads and user engagement in 2024. This dominance is attributed to the widespread use of Android devices, particularly in developing regions where affordable smartphones have democratized access to digital platforms. Android’s open ecosystem enables developers to create region-specific apps with localized features and language support, making it a preferred choice for both farmers and end-users in rural and semi-urban areas.

iOS-based Local Farmerplace Apps, while holding a smaller market share, cater primarily to premium users in developed markets such as North America and Western Eur

The Census of Agriculture, produced by the USDA National Agricultural Statistics Service (USDA), provides a complete count of America's farms, ranches and the people who grow our food. The census is conducted every five years, most recently in 2017, and provides an in-depth look at the agricultural industry.This layer summarizes payments made to producers by the Federal government from the 2017 Census of Agriculture at the county level.This layer was produced from data downloaded using the USDA's QuickStats Application. The data was transformed using the Pivot Table tool in ArcGIS Pro and joined to the county boundary file provided by the USDA. The layer was published as feature layer in ArcGIS Online.Dataset SummaryPhenomenon Mapped: Payments made to producers by the Federal governmentCoordinate System: Web Mercator Auxiliary SphereExtent: United States including Hawaii and AlaskaVisible Scale: All ScalesSource: USDA National Agricultural Statistics Service QuickStats ApplicationPublication Date: 2017AttributesThis layer provides values for the following attributes. Note that some values are not disclosed (coded as -1 in the layer) to protect the privacy of producers in areas with limited production.Federal Payments - Operations with ReceiptsFederal Payments - Receipts in US DollarsFederal Payments - Receipts in US Dollars per OperationFederal Payments not Including Conservation and Wetland Programs - Operations with ReceiptsFederal Payments not Including Conservation and Wetland Programs - Receipts in US DollarsFederal Payments not Including Conservation and Wetland Programs - Receipts in US Dollars per OperationFederal Payments for Conservation and Wetland Programs - Operations with ReceiptsFederal Payments for Conservation and Wetland Programs - Receipts in US DollarsFederal Payments for Conservation and Wetland Programs - Receipts in US Dollars per OperationConservation and wetland programs include:Conservation Reserve Program (CRP)Wetlands Reserve Program (WRP)Farmable Wetlands Program (FWP)Conservation Reserve Enhancement Program (CREP)Other programs with payments to producers include:2014 Agricultural Act (Farm Bill)Agriculture Risk Coverage (ARC)Price Loss Coverage (PLC)Commodity Credit Corporation (CCC)Loan Deficiency PaymentsDisaster Assistance ProgramsState and local government agricultural program payments and Federal crop insurance payments are not included.Additionally, attributes of State Name, State Code, County Name and County Code are included to facilitate cartography and use with other layers.What can you do with this layer?This layer can be used throughout the ArcGIS system. Feature layers can be used just like any other vector layer. You can use feature layers as an input to geoprocessing tools in ArcGIS Pro or in Analysis in ArcGIS Online. Combine the layer with others in a map and set custom symbology or create a pop-up tailored for your users.For the details of working with feature layers the help documentation for ArcGIS Pro or the help documentation for ArcGIS Online are great places to start. The ArcGIS Blog is a great source of ideas for things you can do with feature layers.This layer is part of ArcGIS Living Atlas of the World that provides an easy way to find and explore many other beautiful and authoritative layers, maps, and applications on hundreds of topics.

Indicators contributing to the assessment of the performance of the Common Agricultural Policy.

The vitality and potential of many rural areas remain closely linked to the presence of a viable and dynamic farming and forestry sector, which employs and provides income for an important number of rural inhabitants and at the same time has positive spill-over effects on many other rural activities (e.g. manufacturing, local industries, services, tourism). The level of employment in agriculture, food industry and forestry varies substantially by Member State as illustrated in this dashboard. But the reduction of poverty in rural areas is a common feature and the CAP played an important role in this. The CAP targets farmers (and thus rural areas) but also other actors of the rural community in the rural development programmes.

Farm Management Software Market Outlook

As per our latest research, the global Farm Management Software market size reached USD 3.9 billion in 2024, reflecting a robust expansion fueled by the rapid adoption of digital agriculture solutions. The market is projected to grow at a CAGR of 14.8% from 2025 to 2033, reaching an estimated USD 12.3 billion by the end of the forecast period. Key growth factors include the increasing need for efficient farm operations, resource optimization, and the integration of advanced technologies such as IoT, AI, and big data analytics in agriculture.

One of the primary drivers of the Farm Management Software market is the rising global demand for food, which necessitates higher agricultural productivity and efficiency. With the world’s population steadily increasing, farmers and agribusinesses are under constant pressure to maximize yields while minimizing resource usage and environmental impact. Farm management software empowers users to make data-driven decisions, monitor crop health, optimize input usage, and streamline operations across large and small farms alike. The integration of precision agriculture techniques, such as satellite imagery, soil sensors, and predictive analytics, further enhances the ability of farmers to manage their land sustainably and profitably, thereby fueling the adoption of comprehensive farm management solutions.

Another significant growth factor is the increasing penetration of smart devices and the Internet of Things (IoT) in agriculture. Modern farm management platforms leverage IoT sensors, drones, and automated machinery to collect real-time data on weather, soil conditions, crop growth, and equipment performance. This data is then analyzed to provide actionable insights, enabling farmers to respond quickly to changing conditions and reduce operational risks. The growing availability of affordable smart technologies, coupled with government initiatives promoting digital transformation in agriculture, is accelerating the shift towards cloud-based and on-premises farm management solutions worldwide.

Furthermore, the rising awareness of sustainable farming practices and the need to comply with stringent regulatory standards are propelling the adoption of farm management software. Governments and international organizations are increasingly encouraging the use of digital tools to monitor and report on sustainability metrics, such as water usage, fertilizer application, and carbon footprint. Farm management platforms help users track and document these metrics efficiently, ensuring compliance and supporting access to premium markets that demand traceability and certification. Additionally, the increasing prevalence of farm consolidation and the emergence of large-scale agribusinesses are creating new opportunities for advanced software platforms tailored to complex and diversified operations.

Regionally, North America remains the dominant market for farm management software, driven by high technology adoption rates, a well-established agricultural sector, and significant investments in digital infrastructure. However, Asia Pacific is emerging as the fastest-growing region, supported by rapid population growth, rising food demand, and substantial government initiatives to modernize agriculture. Europe, Latin America, and the Middle East & Africa are also witnessing increased uptake of farm management solutions, each with unique market dynamics shaped by local agricultural practices, regulatory frameworks, and economic conditions.

Component Analysis

The Component segment of the Farm Management Software market is bifurcated into software and services, both of which play critical roles in the digital transformation of agriculture. Software solutions form the backbone of the market, encompassing a wide range of functionalities such as crop planning, inventory management, financial tracking, equipment monitoring, and data analytics. These platforms are increasingly being designed with user-friendly interfaces a

Proportion of agricultural operations that donated or sold local food to non-profit or public sector channels at or below cost, by farm size (small, medium and large), 2022.

The Argentina agricultural market, valued at $69.87 billion in 2025, is projected to experience robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 5.97% from 2025 to 2033. This expansion is driven by several key factors. Firstly, Argentina's fertile land and favorable climate conditions provide a strong foundation for agricultural production, particularly in key crops like soybeans, maize, and wheat. Technological advancements in precision agriculture, including the adoption of GPS-guided machinery, data analytics, and improved irrigation techniques, are enhancing yields and operational efficiency, further fueling market growth. Government initiatives aimed at supporting the agricultural sector, such as investment in infrastructure and research and development, also contribute positively to the market's trajectory. However, challenges remain, including climate change related weather variability (droughts and floods) and potential volatility in global commodity prices, which could impact profitability and investment decisions. The market is segmented by crop type, with soybeans, maize, and wheat dominating the landscape. Leading companies like Bayer AG, Deere & Co., and others play a significant role, focusing on competitive strategies involving technological innovation, product diversification, and strategic partnerships to maintain their market share and capitalize on emerging opportunities. The competitive landscape is characterized by a mix of both domestic and international players, each employing various strategies to capture market share. International firms benefit from advanced technologies and established global distribution networks, while local companies leverage their familiarity with local conditions and established relationships within the agricultural community. Industry risks include fluctuations in currency exchange rates and regulatory changes, which can affect pricing and profitability. The forecast period, 2025-2033, anticipates continued growth, driven by sustained demand for agricultural products both domestically and globally, along with ongoing technological advancements and government support. However, careful management of environmental sustainability concerns and mitigation strategies against climate change impacts will be crucial for sustained, responsible growth in the long term.

Bureau of Economic Analysis. Local Areas Personal Income and Employment: Farm Income and Expenses (CA45) | Line Code: CA45.130 | Finance Line Item: Government payments, 1969 - 2011. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 003-017-012 Dataset: Presents annual estimates of farm income and expenses for states and counties in the United States. Farm Income comprises the net income of sole proprietors, partners,and hired laborers arising directly from the current production of agricultural commodities, either livestock or crops. It includes net farm proprietors' income and the wages and salaries, pay-in-kind, and supplements to wages and salaries of hired farm laborers, but specifically excludes the income of farm corporations. Farm production expenses are expenditures incurred by farm operators in the production of agricultural commodities, including livestock and crops. The major categories of production expenses are intermediate product expenses, which provide inputs to the production process (feed, livestock and poultry, seed, fertilizer, etc.), labor expenses, and other expenses (interest, net rent paid to non-operator landlords, capital consumption, property taxes, etc.). Presents annual estimates of personal income and employment for states and counties in the Untied States. These estimates are developed as part of the Bureau of Economic Analysis Regional Economic Accounts program. Estimates of compensation and earning by industry and place of work indicate the economic activity of establishments within the local area. Estimates of personal income by place of residence provide a measure of fiscal capacity and an indicator of the economic well-being of the residents of an area. The county estimates of personal income are designed to be conceptually and statistically consistent with the national estimates of personal income in the National Income and Product Accounts (NIPA). Differences between the NIPA estimates and the regional accounts estimates are due to differences in coverage and timing of the availability of source data; eg, the NIPA measure of personal income is broader than county personal income. The state and county personal income and employment estimates are based primarily on administrative records data, and also use some survey and census data. Note that, effective with the November 21, 2013 release of BEA's LAPI statistics, the following statistical detail will not be updated or made available: 1) local area employment by industry; 2) statistics for "BEA Economic Areas"; 3) detailed statistics on personal current transfer receipts; and 4) detailed statistics on farm income and expenses. In addition, industry detail on compensation and earnings has been reduced from 108 industries to 25 industries. The impact of sequestration and reduced FY 2013 funding levels for the Bureau of Economic Analysis (BEA) have required reductions in the Bureau's local area personal income (LAPI) program. http://www.bea.gov/iTable/index_regional.cfm Category: Population and Income, Agriculture and Food Subject: Expenses, Agriculture, Personal Income, Farm Income Source: Bureau of Economic Analysis The Bureau of Economic Analysis (BEA) is part of the Department of Commerce Economics and Statistics Administration. BEA produces economic accounts statistics that enable government and business decisionmakers, researchers, and the public to follow and understand the performance of the United States economy. BEA economic statistics are key ingredients in critical decisions affecting monetary policy, tax and budget projections, and business investment plans. The cornerstone of BEA's statistics is the national income and product accounts (NIPAs), which feature the estimates of gross domestic product (GDP) and related measures. BEA prepares national, regional, industry, and international accounts that present essential information on such key issues as economic growth, regional economic development, interindustry relationships, and the nation's position in the world economy. http://www.bea.gov/

Inquire into the most up-to-date information of local and foreign agricultural technique.

The global Farm Management Software market size was valued USD 3.51 billion in 2023 and is expected to rise to USD 9.11 billion by 2032 at a CAGR of 11.2%.

The Americas precision agriculture software market is experiencing robust growth, driven by the increasing adoption of technology to enhance farm efficiency and productivity. The market, valued at approximately $X million in 2025 (assuming a logical extrapolation from the provided CAGR and market size, specific value dependent on the missing "XX" value), is projected to witness a Compound Annual Growth Rate (CAGR) of 17% from 2025 to 2033. This expansion is fueled by several key factors: a growing need for data-driven decision-making in agriculture, the rising adoption of cloud-based solutions for improved data management and accessibility, and government initiatives promoting technological advancements in farming. Major players like Deere & Company, IBM Corporation, and Trimble Inc. are significantly contributing to market growth through continuous innovation and strategic partnerships. The segment breakdown reveals a preference towards cloud-based solutions due to their scalability and accessibility benefits, whereas the local/web-based segment is also substantial, driven by farmers with existing infrastructure or specific software needs. Growth is particularly strong in regions like the United States, Brazil, and Canada, reflecting the advanced agricultural practices and technological infrastructure in these countries. The market's growth is further bolstered by trends such as the increasing integration of artificial intelligence (AI) and machine learning (ML) in precision agriculture software, leading to more accurate predictions and optimized resource utilization. However, challenges remain, including the high initial investment cost associated with implementing precision agriculture technologies and the need for reliable internet connectivity in certain rural areas. Despite these restraints, the long-term outlook for the Americas precision agriculture software market remains positive, propelled by sustained technological advancements and the growing awareness of the economic and environmental benefits of precision farming. The continued development of user-friendly interfaces and affordable software packages will further stimulate adoption across smaller farms, accelerating market expansion throughout the forecast period. Key drivers for this market are: , Adoption of Precision Technology in the Sustainable and Efficient Agriculture Sector in Americas; Shortage of Farm labor, Along with Increasing Farm Size Across North America. Potential restraints include: , High Capital Cost and Complexity Regarding System Upgrades. Notable trends are: Cloud-based Precision Farming Software is Expected to Grow Significantly.

The Census of Agriculture, produced by the USDA National Agricultural Statistics Service (USDA), provides a complete count of America's farms, ranches and the people who grow our food. The census is conducted every five years, most recently in 2017, and provides an in-depth look at the agricultural industry.This layer summarizes payments made to producers by the Federal government from the 2017 Census of Agriculture at the county level. This layer was produced from data downloaded using the USDA's QuickStats Application. The data was transformed using the Pivot Table tool in ArcGIS Pro and joined to the county boundary file provided by the USDA. The layer was published as feature layer in ArcGIS Online.Dataset SummaryPhenomenon Mapped: Payments made to producers by the Federal government Coordinate System: Web Mercator Auxiliary SphereExtent: United States including Hawaii and AlaskaVisible Scale: All ScalesSource: USDA National Agricultural Statistics Service QuickStats ApplicationPublication Date: 2017AttributesThis layer provides values for the following attributes. Note that some values are not disclosed (coded as -1 in the layer) to protect the privacy of producers in areas with limited production.Federal Payments - Operations with ReceiptsFederal Payments - Receipts in US DollarsFederal Payments - Receipts in US Dollars per OperationFederal Payments not Including Conservation and Wetland Programs - Operations with ReceiptsFederal Payments not Including Conservation and Wetland Programs - Receipts in US DollarsFederal Payments not Including Conservation and Wetland Programs - Receipts in US Dollars per OperationFederal Payments for Conservation and Wetland Programs - Operations with ReceiptsFederal Payments for Conservation and Wetland Programs - Receipts in US DollarsFederal Payments for Conservation and Wetland Programs - Receipts in US Dollars per OperationConservation and wetland programs include:Conservation Reserve Program (CRP)Wetlands Reserve Program (WRP)Farmable Wetlands Program (FWP)Conservation Reserve Enhancement Program (CREP)Other programs with payments to producers include:2014 Agricultural Act (Farm Bill)Agriculture Risk Coverage (ARC)Price Loss Coverage (PLC)Commodity Credit Corporation (CCC)Loan Deficiency PaymentsDisaster Assistance ProgramsState and local government agricultural program payments and Federal crop insurance payments are not included.Additionally, attributes of State Name, State Code, County Name and County Code are included to facilitate cartography and use with other layers.What can you do with this layer?This layer can be used throughout the ArcGIS system. Feature layers can be used just like any other vector layer. You can use feature layers as an input to geoprocessing tools in ArcGIS Pro or in Analysis in ArcGIS Online. Combine the layer with others in a map and set custom symbology or create a pop-up tailored for your users. For the details of working with feature layers the help documentation for ArcGIS Pro or the help documentation for ArcGIS Online are great places to start. The ArcGIS Blog is a great source of ideas for things you can do with feature layers. This layer is part of ArcGIS Living Atlas of the World that provides an easy way to find and explore many other beautiful and authoritative layers, maps, and applications on hundreds of topics.

The United States Precision Farming Software Market Report is Segmented by Application (Crop Management, Financial Management, and More), by Deployment Type (Local/Web-Based and Cloud-Based), by Farm Size (Small, Medium, and Large), by End-User (Row-Crop Growers, and More), and by Geography (Midwest, South, and More). The Market Forecasts are Provided in Terms of Value (USD).

Indonesia Wholesale Price Index: Agriculture: Annual Crops: Local Apple data was reported at 271.150 2010=100 in Dec 2018. This records a decrease from the previous number of 276.390 2010=100 for Nov 2018. Indonesia Wholesale Price Index: Agriculture: Annual Crops: Local Apple data is updated monthly, averaging 218.365 2010=100 from Jan 2013 (Median) to Dec 2018, with 72 observations. The data reached an all-time high of 308.720 2010=100 in Jul 2016 and a record low of 108.600 2010=100 in Jan 2013. Indonesia Wholesale Price Index: Agriculture: Annual Crops: Local Apple data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Inflation – Table ID.IB002: Wholesale Price Index: by Sector: Agricultural.