Agriculture
14 columns
200 rows
8 formats

Synthetic Crop Market Demand Signals

This dataset provides simulated crop market demand signals, capturing detailed information on commodity types, buyer segments, order sizes, price trends, and seasonal patterns across regions. It is designed for agricultural market forecasting, demand analysis, and strategic planning, enabling users to model market behaviors and anticipate supply needs.

last updated 5 Sept 2025
by GoMask

The brief that made it

Agricultural market forecasting and planning

Sample rows

preview · 8 of 200 rows · all 14 columns

signal_idstring	buyer_typestring	order_size_valuefloat	commodity_typestring	commodity_namestring	order_size_metricstring	order_datedate	price_per_unitfloat	price_trendstring	seasonstring	regionstring	forecasted_demandfloat	signal_sourcestring	notesstring
SIG-00001	processor	5200.5	grain	Wheat	tons	2023-04-15	275.6	falling	spring	USA Midwest	5450	transaction	Bulk processor order for spring harvest wheat.
SIG-00002	wholesaler	12500	grain	Corn	tons	2023-07-03	0.42	stable	summer	Brazil Mato Grosso	13500	transaction	Large wholesale order during peak export season.
SIG-00003	exporter	8800	grain	Rice	tons	2023-08-22	280	stable	summer	Vietnam Mekong Delta	9000	survey	Export order for Viet rice, steady summer demand.
SIG-00004	processor	3400	grain	Barley	tons	2023-05-10	225.5	falling	spring	Canada Alberta	4000	transaction	Barley for malt processing, spring input.
SIG-00005	retailer	2100	grain	Oats	bushels	2023-09-18	1.15	rising	autumn	UK East Anglia	2400	survey	Retailers increasing oats stock before autumn peak.
SIG-00006	processor	6000	oilseed	Soybeans	tons	2023-11-05	315.8	rising	autumn	Argentina Santa Fe	6500	transaction	Processor order for oilseed extraction, autumn demand spike.
SIG-00007	exporter	4500	oilseed	Rapeseed	tons	2023-03-27	290	stable	spring	Germany Saxony	5000	survey	Spring export order for EU rapeseed.
SIG-00008	wholesaler	12000	oilseed	Peanuts	kilograms	2023-12-11	2.85	rising	winter	USA Georgia	13000	survey	Winter wholesale peanut demand, prepping for festive snacks.
SIG-00009	processor	7000	oilseed	Canola	tons	2023-06-19	320.1	stable	summer	Canada Saskatchewan	7100	transaction	Bulk canola for summer oil processing.
SIG-00010	retailer	950	oilseed	Sunflower Seeds	kilograms	2023-07-08	4.2	rising	summer	Ukraine Kherson	1200	simulation	Retail order for snacks, summer demand climbing.
SIG-00011	retailer	2600	vegetable	Potato	kilograms	2023-10-04	1.28	stable	autumn	India Punjab	3000	transaction	Retail potato demand steady in autumn festival period.
SIG-00012	processor	5000	vegetable	Tomato	kilograms	2023-06-14	2.1	rising	summer	Italy Campania	5500	transaction	Summer tomato processing order, demand rising for sauces.
SIG-00013	retailer	850	vegetable	Carrot	kilograms	2023-03-12	1.45	stable	spring	France Loire	1000	survey	Spring retail carrot order, preparing for Easter.
SIG-00014	wholesaler	1800	vegetable	Onion	kilograms	2023-09-25	1.22	falling	autumn	Mexico Guanajuato	2000	survey	Autumn onion glut, wholesale prices dropping.
SIG-00015	retailer	1500	fruit	Apple	kilograms	2023-09-10	2.75	rising	autumn	USA Washington State	1700	transaction	Apple demand peaks at autumn harvest, retail orders rising.
SIG-00016	wholesaler	28000	fruit	Banana	tons	2023-07-20	0.35	stable	summer	Ecuador Coast	30000	transaction	Major summer banana shipment for export market.
SIG-00017	retailer	1150	fruit	Strawberry	kilograms	2023-06-03	4.5	rising	summer	Spain Andalusia	1300	survey	Summer strawberry harvest, retail demand surging.
SIG-00018	retailer	800	fruit	Blueberry	kilograms	2023-07-12	5.8	stable	summer	Canada British Columbia	1000	survey	Retailers stock up on blueberries in peak season.
SIG-00019	processor	3500	fruit	Grape	tons	2023-09-15	5	falling	autumn	Italy Tuscany	3700	transaction	Autumn grape harvest, order for wine production.
SIG-00020	retailer	1250	fruit	Orange	kilograms	2023-12-05	2.6	stable	winter	Spain Valencia	1400	survey	Winter orange orders for holiday supply.

What the 200 rows show

from the 200-row sample

Wholesaler (buyer type) stands out: mean order_size_value is 19,650, against 3,760 for the rest.

3,163median order_size_value
3price trends
3signal sources
4seasons
5order size metrics
3.6median price_per_unit

Mean order_size_value by buyer_type200 rows

order_size_value200 rows, in bands of 5,000

Median 3,163, from 0.0 to 42,500.

commodity_type200 rows · 6 values

fruit60
grain42
vegetable37
oilseed24
other22
pulse15

14 columns by typefrom the column list below

string 10
float 3
date 1

Columns

14 columns in three groups

blueprint · 14 columns
column	type	description	example
Text 10 columns
`signal_id`	string	Unique identifier for each demand signal recordunique	SIG-00001
`commodity_name`	string	Name of the crop commodity (e.g., wheat, corn, soybeans)	Wheat
`commodity_type`	string	Type or classification of the crop commodity (e.g., grain, vegetable, fruit)6 values · optional	grain
`buyer_type`	string	Type of buyer placing the order (e.g., wholesaler, retailer, processor, exporter)wholesaler · retailer · processor · exporter · other	processor
`order_size_metric`	string	Unit of measurement for order size (e.g., tons, bushels, kilograms)6 values	tons
`price_trend`	string	Direction of price movement compared to previous period (e.g., rising, falling, stable)rising · falling · stable	falling
`season`	string	Season during which the order was placed (e.g., spring, summer, autumn, winter)spring · summer · autumn · winter	spring
`region`	string	Geographic region or market where the demand signal originated	USA Midwest
`signal_source`	string	Source of the demand signal (e.g., market simulation, survey, transaction)simulation · survey · transaction · other · optional	transaction
`notes`	string	Additional remarks or context about the demand signaloptional	Bulk processor order for …
Numbers 3 columns
`order_size_value`	float	Quantity of commodity ordered in the specified metric0 or more	5200.5
`price_per_unit`	float	Price per unit of the commodity at the time of order0 or more	275.6
`forecasted_demand`	float	Forecasted demand for the commodity in the region and season (if available)0 or more · optional	5450
Dates and times 1 column
`order_date`	date	Date when the demand signal (order) was placed	2023-04-15

Use it for

An agriculture dashboard
Order_size_value by buyer_type and a breakdown of commodity_type. Excel, Power BI or Tableau.
Why do the 27 wholesaler rows have a mean order_size_value of 19,650?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Signals200
SIG-000015200.5processor
SIG-0000212500wholesal…
SIG-000038800exporter
A software demo
Believable signals with commodity_name, commodity_type and buyer_type to fill a screen in front of a buyer.

This dataset200 rows14 columns

Yours1,000 rows14 columnsregion: UK only

blueprint · synthetic-crop-market-demand-signals

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 14 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

Each signal linked to commodity type
Buyer type and order size assigned
Price trend calculated
Seasonal variation flagged

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: synthetic-crop-market-demand-signals

What should your data show?

No signup. No card.

Sample rows

What the 200 rows show

Columns

Use it for

An agriculture dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Agriculture

What should your data show?