Exchange Ratios

Export/Import feature available in Docklands DLC is based on exchange ratios. The exchange ratio determines the amount of goods one needs to export in order to get a particular amount of imported goods. The ratio is based on fixed exchange values for each good, which are derived from their production chains. This page lists all of those values and explains the exact formula for the exchange ratio.

Exchange Ratios Calculator

Use the calculator below to calculate the exchange ratio between two different goods.

• Enter the names of goods to export and import - you can use the dropdown menu to select the good; you can also start typing a part of the name of the good to limit the list of the dropdown menu.
• Select the exporter level of the exported good - based on its position in the specialty exports pyramid.
• Optionally you can insert the number of tons you want to be exported or imported; if you don't insert any numbers, the calculation will be done based on 500 tons of exported good.
• Use the "Calculate" button to obtain the result, and "Clear" button to empty all input fields and to set the exporter level to common (default level).

Important!
The calculator is available only on the desktop version of the website. If you are using a mobile device and do not see the calculator, check the options of the browser you are using to switch the website into the desktop version.

Ratios Formula

For a given import good $G_I$ and an export good $G_E$, the exchange ratio can be calculated as follows:

$R(G_E, G_I) = \frac{V(G_I)}{V(G_E)} \cdot \frac{M_I(G_I)}{M_E(G_E)}$

• $V(G)$: the exchange value of goods $G$. They are fixed for each good and listed in the table below.
• $M_I(G_I)$: the import good multiplier. They are fixed for each good and listed in the table below.
• $M_E(G_E)$: the export good multiplier. It depends on the position of good in the specialty exports pyramid, as explained here.

Depending on whether the export good is more or less valuable than the import good, the ratio is displayed differently:

• $R(G_E, G_I) > 1$: more tons of goods are exported than imported and the ratio is displayed as $R(G_E, G_I) : 1$.

• $R(G_E, G_I) < 1$: less tons of goods are exported than imported and the ratio is displayed as $1 : \frac 1 {R(G_E, G_I)}$.

Import multipliers depend on the rarity of the good for import, export multpliers depend on the exporter level of the specialty slot which the good is in. In both cases the rarity of the good or its slot in the pyramid indicate the multiplier in accordance to the following table:

Rarity	Multiplier
Legendary	2
Epic	1.6
Rare	1.4
Uncommon	1.2
Common	1

Exchange Values

Good $G$	Good's Value $V(G)$	Import Multiplier $M_I(G)$
Wood	69.33594	1
Timber	83.00782	1
Fish	70.43361	1
Potatoes	61.84376	1
Schnapps	121.20316	1
Wool	28.67188	1
Work Clothes	90.03128	1
Clay	106.46363	1
Bricks	163.236355	-
Pigs	74.01564	1
Sausages	149.56109	1
Grain	177.34376	1
Flour	194.01564	-
Bread	269.56109	1.2
Sails	104.71733	-
Coal	102.96363	1
Iron	102.96363	1
Steel	347.01816	1.2
Steel Beams	638.69996	-
Tallow	133.852	1
Soap	205.39745	1
Weapons	463.06361	-
Hops	183.34376	1.2
Malt	219.116485	1.4
Beer	517.77842	1.4
Quartz Sand	80.3045425	1
Glass	338.5609425	1
Windows	679.1532825	-
Beef	157.34376	1
Red Peppers	244.67188	1
Goulash	636.70794	1.2
Canned Food	987.36387	1.4
Sewing Machines	812.7387	1.4
Sugar Cane	115.679998	-
Rum	267.455932	1.4
Furs	387.67188	1.2
Cotton	241.679998	-
Cotton Fabric	270.559996	1.4
Fur Coats	1162.744676	1.2
Cement	72.481815	1.2
Reinforced Concrete	764.769525	-
Zinc	72.481815	1.2
Copper	72.481815	1.2
Brass	201.736355	1.4
Glasses	996.6566975	1.4
Saltpetre	197.3045425	1
Dynamite	1412.0550425	1
Advanced Weapons	4097.7803525	-
Caoutchouc	231.879998	1.4
Penny Farthings	1811.122448	1
Steam Motors	2699.361665	-
Coffee Beans	269.679998	-
Coffee	920.936198	1.4
Gold Ore	784.23912	1.2
Gold	1432.652	1.6
Pocket Watches	3068.960233	1.4
Filaments	775.50273	1.2
Light Bulbs	1780.6027725	1.4
Gas	2330.9184	-
Grapes	290.67188	-
Champagne	1013.6174225	1.6
Tobacco	588.879998	1.2
Wood Veneers	724.87504	1.4
Cigars	2083.353938	1.6
Cocoa	224.879998	-
Sugar	342.565398	-
Chocolate	1012.116196	1.2
Pearls	344.239987	1.4
Jewellery	2158.776587	1.6
Gramophones	2310.835685	1.4
Chassis	1039.755038	-
Steam Carriages	7914.931003	1.6
Leather Boots	554.2391464	1.4
Tailored Suits	983.7046156	1.2
Bowler Hats	449.454152	1.4
Hibiscus Tea	279.086366	1.2
Seafood Stew	1353.99171726	1.4
Tapestries	914.169867	1.2
Telephones	2926.40206	1.6
Clay Pipes	1161.0965455	1.4
Fish Oil	84.5259961	-
Plantains	113.579998	1
Fried Plantains	250.7059891	1
Alpaca Wool	49.179998	-
Ponchos	116.219992	-
Corn	265.479998	1
Tortillas	853.494558	1
Felt	78.059996	1.2
Whale Oil	278.4694224	-
Caribou Meat	645.70604	1
Pemmican	1007.1827104	-
Seal Skin	80.6062816	-
Goose Feathers	184.308456	1.4
Sleeping Bags	375.5268176	-
Oil Lamps	624.8226894	-
Bear Fur	1337.609664	-
Parkas	2165.6458336	-
Huskies	901.029888	-
Sleds	878.1721096	-
Husky Sleds	2703.8893576	-
Wanza Timber	99.0659098	-
Goat Milk	109.7318196	-
Linseed	141.7886366	-
Linen	178.6318196	1.2
Finery	259.9409124	-
Sanga Cow	136.8545464	1
Salt	86.53568274	-
Dried Meat	286.67659514	-
Hibiscus Petals	218.6659098	-
Teff	255.1545464	-
Mud Bricks	942.3220664	-
Indigo Dye	229.1545464	-
Ceramics	900.0720664	-
Spices	203.0659098	1.4
Spiced Flour	740.1224012	-
Lobster	183.32659306	-
Paper	730.7985691	-
Illuminated Script	1547.1570055	-
Beeswax	162.3818196	1
Ornate Candles	581.5229846	-
Lanterns	1370.2368446	-
Jam	165.35158	-
Cinnamon	241.079993	-
Coconut Oil	241.079993	-
Shampoo	1139.916836	-
Citrus	241.079993	-
Lemonade	1233.3093335	-
Camphor Wax	241.079993	-
Souvenirs	1273.6803335	-
Elevators	5029.918415	-
Biscuits	1827.611183	-
Typewriters	3399.0630255	-
Resin	165.35158	-
Cherry Wood	165.35158	-
Lacquer	1591.6449605	-
Cognac	1700.486258	-
Violins	3005.9121005	-
Billiard Tables	3080.511905	-
Toys	4506.805286	-
Chewing Gum	1374.338889	-
Ethanol	893.629438	-
Celluloid	1935.202929	-
Atole	462.19999	-
Dung	160	-
Fertiliser	221.439994	-
Hot Sauce	312.105904	-
Bauxite	547.483938	-
Industrial Lubricant	661.350526	-
Aluminium Profiles	892.015888	-
Helium	1478.1111	-
Bombs	2570.77769	-
Sea Mines	2445.95496	-
Pamphlets	925.415878	-
Care Packages	2735.08317	-
Water Drop	614.39994	-
Nandu Leather	72.979998	-
Soccer Balls	366.29999	-
Herbs	118.479998	-
Mezcal	866.051179	-
Calamari	157.5599935	-
Jalea	705.4457795	-
Milk	22	-
Ice Cream	1869.699349	-
Fire Extinguishers	1860.410558	-
Orchid	115.679998	-
Perfumes	2161.144169	-
Minerals	710.296944	-
Pigments	1811.3562265	-
Nandu Feathers	18	-
Costumes	2411.1678025	-
Police Equipment	1301.314036	-
Electric Cables	993.418013	-
Motor	4632.725882	-
Fans	7297.735776	-
Film Reel	2691.3209715	-
Medicine	2914.298914	-
Scooter	9135.7141145	-

Exchange Values Formula

The formula for the exchange value is recursively defined based on the input goods and key characteristics of the factory. For a given good $G$ there is one main factory $F$ defined that produces it. The main factory $F$determines the set of input resources (if any) ${\textstyle I(F)}$used to produce $G$. The formula used to calculate the exchange value is as follows:

$V(G) = \sum_{G_I \in I(F)}{V(G_I)} + \Bigl(A(F) \cdot T(F) + W(F) \cdot M_{WT}(F)\Bigr) \cdot M_{R}(F) \cdot M_{T}(F)$

• $V(G_I)$: the exchange values of input goods of the factory
• $A(F)$: the total area of the factory, including modules in case of farms or all tiles within the influence radius for buildings which utilise trees around them (like lumberjack's huts)
• $T(F)$: the base production cycle time in minutes
• $W(F)$: the amount of workforce required by the factory
• $M_{WT}$: the workforce type modifier
• $M_{R}$: the region modifier
• $M_{T}(F)$: the factory type modifier

The following tables list the modifiers:

Workforce Type $M_{WT}(F)$ Farmer Workforce 1.067188 Worker Workforce 1.270909 Artisan Workforce 2.462564 Engineer Workforce 4.203594 Jornalero Workforce 1.262857 Obrero Workforce 3.00122 Artista Workforce 4.203594 Explorer Workforce 1.062651 Technician Workforce 5.539296 Shepherd Workforce 0.8136364 Elder Workforce 4.216953

Region $M_R(F)$ The Old World 1 The New World 1.4 Polar 1.6 Enbesa 1.3

Factory Type $M_{T}(F)$ Coast 1.3 Mine (applies to all slot buildings) 1.4 Electricity required 1.9 Other 1

Parameters for Exchange Values

The following table contains all the input parameters for calculating exchange values of each good:

Good $G$	Factory Area $A(F)$	Workforce Amount $W(F)$	Cycle Time $T(F)$
Wood	256	5	0.25
Timber	12	10	0.25
Fish	55	25	0.5
Potatoes	81	20	0.5
Schnapps	12	50	0.5
Wool	36	10	0.5
Work Clothes	16	50	0.5
Clay	25	50	0.5
Bricks	25	25	1
Pigs	42	30	1
Sausages	12	50	1
Grain	156	20	1
Flour	12	10	0.5
Bread	12	50	1
Sails	25	50	0.5
Coal	40	50	0.25
Iron	40	50	0.25
Steel	28	100	0.5
Steel Beams	50	200	0.75
Tallow	9	40	1
Soap	16	50	0.5
Weapons	35	50	1.5
Hops	108	20	1.5
Malt	20	25	0.5
Beer	20	75	1
Quartz Sand	60	25	0.5
Glass	24	100	0.5
Windows	25	100	1
Beef	68	20	2
Red Peppers	117	10	2
Goulash	25	75	2
Canned Food	42	75	1.5
Sewing Machines	54	150	0.5
Sugar Cane	140	10	0.5
Rum	42	30	0.5
Furs	377	10	1
Cotton	160	10	1
Cotton Fabric	16	10	0.5
Fur Coats	24	200	0.5
Cement	40	25	0.5
Reinforced Concrete	30	75	1
Zinc	40	25	0.5
Copper	40	25	0.5
Brass	25	25	1
Glasses	24	100	1.5
Saltpetre	60	25	2
Dynamite	30	250	1
Advanced Weapons	90	250	2
Caoutchouc	153	10	1
Penny Farthings	36	150	0.5
Steam Motors	54	250	1.5
Coffee Beans	180	10	1
Coffee	30	150	0.5
Gold Ore	40	100	2.5
Gold	20	125	1
Pocket Watches	35	150	1.5
Filaments	42	150	1
Light Bulbs	36	150	1
Gas	16	250	4.5
Grapes	140	10	2
Champagne	30	150	0.5
Tobacco	204	10	2
Wood Veneers	25	150	1
Cigars	49	175	0.5
Cocoa	148	10	1
Sugar	24	50	0.5
Chocolate	35	100	0.5
Pearls	84	50	1.5
Jewellery	25	150	0.5
Gramophones	49	150	2
Chassis	54	150	2
Steam Carriages	96	500	1
Leather Boots	48	150	1
Tailored Suits	42	200	1
Bowler Hats	24	20	0.5
Hibiscus Tea	12	35	1.5
Seafood Stew	36	70	1
Tapestries	20	90	0.5
Telephones	80	150	1.5
Clay Pipes	28	75	1.5
Fish Oil	55	15	0.5
Plantains	137	10	0.5
Fried Plantains	12	25	0.5
Alpaca Wool	45	10	0.5
Ponchos	20	30	0.5
Corn	177	10	1
Tortillas	15	100	0.5
Felt	16	10	0.5
Whale Oil	102	30	1
Caribou Meat	377	25	1
Pemmican	20	30	1
Seal Skin	35	20	0.5
Goose Feathers	39	35	2
Sleeping Bags	16	50	1
Oil Lamps	16	70	1
Bear Fur	529	40	1.5
Parkas	16	80	1.5
Huskies	60	80	2
Sleds	12	80	1
Husky Sleds	24	100	1
Wanza Timber	256	15	0.25
Goat Milk	60	30	1
Linseed	105	5	1
Linen	16	25	0.5
Finery	30	40	1
Sanga Cow	89	20	1
Salt	78	15	0.5
Dried Meat	16	50	0.5
Hibiscus Petals	156	15	1
Teff	180	20	1
Mud Bricks	25	100	1
Indigo Dye	160	20	1
Ceramics	25	100	0.5
Spices	144	15	1
Spiced Flour	12	50	0.5
Lobster	80	35	1
Paper	20	85	0.25
Illuminated Script	30	100	1
Beeswax	201	30	0.5
Ornate Candles	20	30	0.5
Lanterns	30	75	1
Jam	256	35	0.5
Cinnamon	256	35	0.5
Coconut Oil	256	35	0.5
Shampoo	64	100	0.5
Citrus	256	35	0.5
Lemonade	64	100	0.5
Camphor Wax	256	35	0.5
Souvenirs	64	100	0.5
Elevators	54	500	0.5
Biscuits	54	500	0.5
Typewriter	54	500	0.5
Resin	256	35	0.5
Cherry Wood	256	35	0.5
Lacquer	64	100	0.5
Cognac	40	350	1
Violins	40	350	1
Billiard Tables	40	350	1
Toys	40	350	1
Chewing Gum	48	125	0.5
Ethanol	48	125	0.5
Celluloid	48	125	0.5
Atole	20	30	1
Fertiliser	12	30	0.5
Hot Sauce	20	30	2
Bauxite	9	220	0.166667
Industrial Lubricant	378	65	0.5
Aluminium Profiles	35	40	1.5
Helium	9	120	0.25
Bombs	60	300	1
Sea Mines	60	300	1
Pamphlets	60	300	1
Care Packages	60	300	1
Water Drop	60	300	1
Nandu Leather	79	10	0.5
Soccer Balls	12	30	0.5
Herbs	144	10	0.5
Mezcal	24	25	0.5
Calamari	55	25	1
Jalea	24	25	0.5
Ice Cream	20	100	1
Fire Extinguishers	20	300	0.75
Orchid	140	10	0.5
Perfumes	20	150	1
Minerals	9	120	0.25
Pigments	20	150	0.75
Costumes	25	50	1
Police Equipment	60	300	1
Electric Cables	42	150	1
Motor	60	150	1
Fans	36	150	1
Film Reel	48	125	0.5
Medicine	20	300	0.75
Scooter	42	200	2