Logistics
17 columns
200 rows
8 formats

Warehouse Storage Utilization Rates

This dataset provides granular warehouse storage utilization metrics, including capacity, occupancy, and inventory turnover rates by storage area and location. It enables warehouse managers and logistics analysts to optimize layouts, monitor performance, and improve inventory efficiency across multiple sites. The data supports operational decision-making and strategic planning for supply chain management.

last updated 20 Aug 2025
by GoMask

The brief that made it

Optimizing warehouse storage layouts and space utilization

Sample rows

preview · 8 of 200 rows · all 17 columns

warehouse_idstring	storage_typestring	total_capacity_cubic_metersfloat	location_citystring	warehouse_namestring	location_street_addressstring	location_statestring	location_postal_codestring	location_countrystring	storage_area_idstring	storage_area_namestring	current_occupied_cubic_metersfloat	utilization_rate_percentfloat	inventory_turnover_ratefloat	reporting_datedate	manager_idstring	notesstring
WH001	pallet	4500	Chicago	Chicago Distribution Center	2900 S Ashland Ave	IL	60608	USA	SA_1001	Pallet Zone A1	4410	98	14.8	2024-06-03	MGR_USA01	Peak utilization for summer e-commerce shipments
WH002	rack	1700	London	London Hub Center	75 Bermondsey St	Greater London	SE13XF	UK	SA_1002	Rack Zone B3	1530	90	11.2	2024-06-01	MGR_UK01	High turnover as new tech inventory rotates weekly
WH003	bulk	2400	Toronto	Toronto Storage Depot	1234 Dundas St W	ON	M6J1X4	Canada	SA_1003	Bulk Storage 2	0	0	0	2024-05-29	blank	Area reserved for seasonal clearance event
WH004	shelf	550	Berlin	Berlin Logistics Center	Friedrichstrasse 15	Berlin	10117	Germany	SA_1004	Shelf Section D1	330	60	12.5	2024-06-07	MGR_DE01	Regular cycle of electronics and small appliances
WH005	other	900	Singapore	Singapore Supply Depot	100 Jurong Gateway Rd	Jurong East	609531	Singapore	SA_1005	Other Zone S3	810	90	18.6	2024-05-30	MGR_SG01	Rapid inventory movement for tech components
WH006	bin	320	Denver	Denver Fulfillment Storage	1200 S Cherry St	CO	80222	USA	SA_1006	Bin Area 4	160	50	3.1	2024-06-05	MGR_USA02	Seasonal bin prepping for summer inventory
WH007	bulk	1700	Nassau	Nassau Regional Storage	17 Bay St	New Providence	NP1000	Bahamas	SA_1007	Bulk Section A	1700	100	0.1	2024-06-02	blank	Long-term holding post recall event
WH008	pallet	1400	Beijing	Beijing Expo Zone	88 Chaoyang Rd	Beijing	100025	China	SA_1008	Pallet Zone E2	140	10	10.9	2024-06-06	MGR_CN01	Transit area for international shipments
WH009	rack	1200	Austin	Austin Tech Depot	9100 Research Blvd	TX	78758	USA	SA_1009	Rack Row F	1140	95	19.9	2024-06-03	MGR_USA03	Automated rack for fast-moving electronics
WH010	bin	210	Winnipeg	Winnipeg Storage Depot	500 Portage Ave	MB	R3C0G3	Canada	SA_1010	Bin Area B2	0	0	0	2024-05-28	blank	Static bin awaiting supplier delivery
WH011	shelf	600	New York	New York Distribution Center	370 Madison Ave	NY	10017	USA	SA_1011	Shelf Row C	540	90	16.2	2024-06-08	MGR_USA04	High shelf turnover for urban retail orders
WH012	other	480	Dublin	Dublin Storage Depot	45 Talbot St	Leinster	D01K2P6	Ireland	SA_1012	Other Zone E3	0	0	0.2	2024-06-02	blank	Reserved inventory for autumn campaign
WH013	bin	110	Des Moines	Des Moines Logistics Center	1515 E Euclid Ave	IA	50313	USA	SA_1013	Bin Storage 7	99	90	4.2	2024-06-07	MGR_USA05	Seasonal bin prepping for fall rush
WH014	bulk	1200	Mexico City	Mexico City Transit Zone	800 Paseo de la Reforma	CDMX	06600	Mexico	SA_1014	Bulk Zone 1	60	5	10.1	2024-06-05	MGR_MX01	Prepping for international shipment clearance
WH015	shelf	800	Boston	Boston Distribution Center	200 Milk St	MA	02109	USA	SA_1015	Shelf Section E5	784	98	17.4	2024-06-06	MGR_USA06	High shelf use for summer promotions
WH016	rack	1200	Manchester	Manchester Hub Center	215 Deansgate	Greater Manchester	M34BQ	UK	SA_1016	Rack Zone C1	720	60	10.6	2024-06-01	MGR_UK02	Tech rack prepping for quarterly restock
WH017	other	1800	Berlin	Berlin Supply Depot	30 Alexanderplatz	Berlin	10178	Germany	SA_1017	Other Area F4	1620	90	20	2024-06-07	MGR_DE02	Automated turnover for industrial spares
WH018	bin	80	Anchorage	Anchorage Fulfillment Storage	800 W 6th Ave	AK	99501	USA	SA_1018	Bin Area S8	40	50	2.9	2024-06-04	MGR_USA07	Seasonal prepping for fishing supply cycle
WH019	pallet	1100	Singapore	Singapore Expo Zone	5 Changi Business Park	Changi	486040	Singapore	SA_1019	Pallet Zone C2	110	10	13.1	2024-06-07	MGR_SG02	Transit prepping for cross-border ecommerce
WH020	bulk	430	Dublin	Dublin Storage Depot	12 Parnell Square	Leinster	D01F5P2	Ireland	SA_1020	Bulk Section 6	0	0	0	2024-06-04	blank	Long-term reserved area for autumn demand

What the 200 rows show

from the 200-row sample

Pallet (storage type) stands out: mean total_capacity_cubic_meters is 2,706, against 1,236 for the rest.

1,100median total_capacity_cubic_meters
9location countries
42location states
502.5median current_occupied_cubic_meters
80.0median utilization_rate_percent
11.6median inventory_turnover_rate

Mean total_capacity_cubic_meters by storage_type200 rows

total_capacity_cubic_meters200 rows, in bands of 500

Median 1,100, from 60 to 5,000.

location_city200 rows · top 10 of 31 values

Berlin27
Singapore16
Toronto14
Mexico City12
London11
Anchorage11
Manchester9
Chicago8
Winnipeg8
Nassau7

17 columns by typefrom the column list below

string 12
float 4
date 1

Columns

17 columns in three groups

blueprint · 17 columns
column	type	description	example
Text 12 columns
`warehouse_id`	string	Unique identifier for the warehouseunique	WH001
`warehouse_name`	string	Name of the warehouse	London Hub Center
`location_street_address`	string	Street address of the warehouse	2900 S Ashland Ave
`location_city`	string	City where the warehouse is located	Chicago
`location_state`	string	State or province of the warehouse location	IL
`location_postal_code`	string	Postal code of the warehouse location	60608
`location_country`	string	Country where the warehouse is located9 countries	USA
`storage_area_id`	string	Unique identifier for the storage area within the warehouse	SA_1001
`storage_area_name`	string	Name or designation of the storage area	Pallet Zone A1
`storage_type`	string	Type of storage (e.g., pallet, shelf, bin, bulk)6 values	pallet
`manager_id`	string	Unique identifier for the warehouse manager responsible for this areaoptional	MGR_USA01
`notes`	string	Additional notes or comments about the storage area or utilizationoptional	Peak utilization for summ…
Numbers 4 columns
`total_capacity_cubic_meters`	float	Total storage capacity of the area in cubic meters0 or more	4500
`current_occupied_cubic_meters`	float	Current volume occupied in cubic meters0 or more	4410
`utilization_rate_percent`	float	Percentage of storage area currently utilized0 to 100	98
`inventory_turnover_rate`	float	Number of times inventory is replaced in the storage area during a specified period0 or more	14.8
Dates and times 1 column
`reporting_date`	date	Date when the utilization metrics were recorded	2024-06-03

Use it for

A logistics dashboard
Total_capacity_cubic_meters by storage_type and a breakdown of location_city. Excel, Power BI or Tableau.
Why do the 18 pallet rows have a mean total_capacity_cubic_meters of 2,706?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Warehouses200
WH0014500pallet
WH0021700rack
WH0032400bulk
A software demo
Believable warehouses with warehouse_name, location_street_address and location_city to fill a screen in front of a buyer.

This dataset200 rows17 columns

Yours1,000 rows17 columnslocation_street_address: UK only

blueprint · warehouse-storage-utilization-rates

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 17 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

Track SKU location and storage time
Calculate utilization rate per zone
Flag overstock and understock
Exclude perishable goods from totals

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: warehouse-storage-utilization-rates

What should your data show?

No signup. No card.

Sample rows

What the 200 rows show

Columns

Use it for

A logistics dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Logistics

What should your data show?