Parsed data

These tables turn Victoria 3 definitions into analysis-ready CSV files. See the parsing guide before regenerating them from an installed game.

examples/parse.py regenerates all eight parsed tables and the buy-package charts in one run. The production-configuration table uses the separate examples/production_analysis.py script.

Use the parser dictionary for generated parser fields and the production dictionary for every analytical production-table column.

Buildings

One row per building, including construction cost, group membership, unlocks, land use, and resolved inherited building-group attributes. Important columns: key, building_group, required_construction_points, land_usage, and economy_of_scale.

key	building_group	required_construction_points	land_usage	economy_of_scale
building_food_industry	bg_light_industry	600.0	—	True
building_textile_mill	bg_light_industry	600.0	—	True
building_furniture_manufactory	bg_light_industry	600.0	—	True
building_glassworks	bg_light_industry	600.0	—	True
building_tooling_workshop	bg_light_industry	600.0	—	True

Download artifacts/datasets/parsed/buildings.csv · View examples/parse.py

uv run python -m examples.parse

Goods

One row per tradeable good with its base cost, category, and trade or consumption properties. Important columns: key, cost, category, tradeable, and local.

key	cost	category	tradeable	local
ammunition	50	military	—	—
small_arms	60	military	—	—
artillery	70	military	—	—
tanks	80	military	—	—
aeroplanes	80	military	—	—

Download artifacts/datasets/parsed/goods.csv · View examples/parse.py

uv run python -m examples.parse

Population needs

Maps each population need to eligible goods and substitution constraints. Important columns: key, goods, weight, min_supply_share, and max_supply_share.

key	goods	weight	min_supply_share	max_supply_share
popneed_simple_clothing	fabric	1.0	0.0	0.5
popneed_simple_clothing	clothes	2.0	0.0	1.0
popneed_crude_items	wood	1.0	0.0	0.5
popneed_crude_items	furniture	2.0	0.0	1.0
popneed_basic_food	grain	0.85	0.0	0.9

Download artifacts/datasets/parsed/pop_needs.csv · View examples/parse.py

uv run python -m examples.parse

Population types

One row per profession or dependent type, including starting wealth, wage weights, employment flags, and consumption multipliers.

key	start_quality_of_life	wage_weight	working_adult_ratio	consumption_mult
academics	10	4.0	—	—
aristocrats	20	5.0	0.2	—
bureaucrats	10	4.0	—	—
capitalists	20	5.0	—	—
clergymen	10	3.0	—	—

Download artifacts/datasets/parsed/pop_types.csv · View examples/parse.py

uv run python -m examples.parse

Production methods

Flattened production methods with employment, goods flows, state modifiers, unlock conditions, and production-method-group context.

building	production_method_group	production_method	employment	goods_tools	goods_steel
building_food_industry	pmg_base_building_food_industry	pm_bakery	5000	0	0
building_food_industry	pmg_base_building_food_industry	pm_sweeteners	5000	0	0
building_food_industry	pmg_base_building_food_industry	pm_baking_powder	5000	0	0
building_food_industry	pmg_canning	pm_disabled_canning	0	0	0
building_food_industry	pmg_canning	pm_cannery	500	0	0

Download artifacts/datasets/parsed/production_methods.csv · View examples/parse.py

uv run python -m examples.parse

Production configurations

The main analytical table has one row per valid combination of production methods for a building. It contains input/output flows, employment, private-wage-normalized employment, construction cost, unlock era, and nominal profitability.

building	production_method	building_group	era	employment	wage_normalized_employment	profit_per_wage_normalized_employment_nominal
building_food_industry	pm_bakery+pm_disabled_canning+pm_disabled_distillery+pm_manual_…	bg_light_industry	1	5000	6000.0	0.09166666666666666
building_food_industry	pm_bakery+pm_disabled_canning+pm_disabled_distillery+pm_automat…	bg_light_industry	5	2500	3500.0	0.08
building_food_industry	pm_bakery+pm_disabled_canning+pm_pot_stills+pm_manual_dough_pro…	bg_light_industry	1	5350	6675.0	0.09737827715355805
building_food_industry	pm_bakery+pm_disabled_canning+pm_pot_stills+pm_automated_bakery	bg_light_industry	5	2850	4175.0	0.09101796407185629
building_food_industry	pm_bakery+pm_disabled_canning+pm_patent_stills+pm_manual_dough_…	bg_light_industry	2	5900	7950.0	0.1509433962264151

Download artifacts/datasets/production/production_table.csv · View examples/production_analysis.py

uv run python -m examples.production_analysis

State regions

One row per state region with arable land and total resource potential. Resource columns feed directly into scenario building limits.

key	province_count	arable_land	resource_building_coal_mine	resource_building_iron_mine	resource_building_oil_rig
STATE_SVEALAND	58	30.0	0	60	0
STATE_GOTALAND	27	35.0	0	15	0
STATE_SCANIA	10	20.0	8	0	0
STATE_NORRLAND	186	22.0	0	100	0
STATE_GOTLAND	2	3.0	0	0	0

Download artifacts/datasets/parsed/state_regions.csv · View examples/parse.py

uv run python -m examples.parse

Technologies

Technology keys, eras, categories, prerequisites, and map-update behavior.

key	era	category	unlocking_technologies	should_update_map
sericulture	1	production	—	—
enclosure	1	production	—	—
manufacturies	1	production	—	—
shaft_mining	1	production	manufacturies	—
cotton_gin	1	production	manufacturies	—

Download artifacts/datasets/parsed/technology.csv · View examples/parse.py

uv run python -m examples.parse