Roschart — Russian statistics in charts

Official Rosstat statistics turned into charts instead of CSV and XLSX

RU

Sales of longitudinally sawn timber with a thickness of more than 6 mm

thousand cubic meters

shown 25 largest of 71
0.00 100.0 200.0 300.0 400.0 2018 2019 2020
how it will look
Russian Federation Belgorod Region Bryansk Region Vladimir Region Voronezh Region Ivanovo Region Kaluga Region Kostroma Region Kursk Region Belgorod Region Moscow Region Oryol Region 2018 2020

Who grew, who fell: 2018 → 2020

unchanged Vologda Region · 2020: 234.0 thousand cubic meters · 2018: 200.0 · +34.0 Vologda Region +34.0 Republic of Komi · 2020: 129.0 thousand cubic meters · 2018: 100.0 · +29.0 Republic of Komi +29.0 Kostroma Region · 2020: 119.0 thousand cubic meters · 2018: 93.6 · +25.4 Kostroma Region +25.4 Moscow Region · 2020: 24.9 thousand cubic meters · 2018: 10.0 · +14.9 Moscow Region +14.9 Voronezh Region · 2020: 14.2 thousand cubic meters · 2018: 5.80 · +8.40 Voronezh Region +8.40 Yaroslavl Region · 2020: 12.8 thousand cubic meters · 2018: 4.80 · +8.00 Yaroslavl Region +8.00 Vladimir Region · 2020: 184.0 thousand cubic meters · 2018: 179.0 · +5.00 Vladimir Region +5.00 Tambov Region · 2020: 32.1 thousand cubic meters · 2018: 27.2 · +4.90 Tambov Region +4.90 Ivanovo Region · 2020: 14.8 thousand cubic meters · 2018: 10.8 · +4.00 Ivanovo Region +4.00 Novgorod Region · 2020: 25.4 thousand cubic meters · 2018: 21.8 · +3.60 Novgorod Region +3.60 Oryol Region · 2020: 0.30 thousand cubic meters · 2018: 0.70 · −0.40 Oryol Region −0.40 Belgorod Region · 2020: 1.70 thousand cubic meters · 2018: 2.10 · −0.40 Belgorod Region −0.40 Kursk Region · 2020: 3.30 thousand cubic meters · 2018: 4.10 · −0.80 Kursk Region −0.80 Smolensk Region · 2020: 5.30 thousand cubic meters · 2018: 6.80 · −1.50 Smolensk Region −1.50 Kaluga Region · 2020: 24.9 thousand cubic meters · 2018: 27.0 · −2.10 Kaluga Region −2.10 Murmansk Region · 2020: 12.8 thousand cubic meters · 2018: 15.6 · −2.80 Murmansk Region −2.80 Ryazan Region · 2020: 92.1 thousand cubic meters · 2018: 95.5 · −3.40 Ryazan Region −3.40 Belgorod Region · 2020: 5.30 thousand cubic meters · 2018: 10.0 · −4.70 Belgorod Region −4.70 Tver Region · 2020: 50.0 thousand cubic meters · 2018: 60.7 · −10.7 Tver Region −10.7 Bryansk Region · 2020: 47.0 thousand cubic meters · 2018: 61.9 · −14.9 Bryansk Region −14.9 Kaliningrad Region · 2020: 6.30 thousand cubic meters · 2018: 21.9 · −15.6 Kaliningrad Region −15.6 Republic of Karelia · 2020: 57.9 thousand cubic meters · 2018: 114.0 · −56.1 Republic of Karelia −56.1 Arkhangelsk Region · 2020: 142.0 thousand cubic meters · 2018: 214.0 · −72.0 Arkhangelsk Region −72.0 Russian Federation · 2020: 4,712 thousand cubic meters · 2018: 4,933 · −221.0 Russian Federation −221.0 Leningrad Region · 2020: 83.4 thousand cubic meters · 2018: 307.0 · −223.6 Leningrad Region −223.6

Set in numbers

Rosstat data for 2018–2020. Series: 71, periods: 3. Unit of measurement — thousand cubic meters. Table rows: Russian Federation; Belgorod Region; Bryansk Region; Vladimir Region; Voronezh Region and others

Russian Federation: indicator decreased from 4,933 to 4,712 over 2018–2020 — by 4.48%. Of the 25 largest series, 10 increased, 15 decreased

All table numbers are series: 71
Series 201820192020
Российская Федерация 4 933,00 4 928,00 4 712,00
Белгородская область 2,10 4,80 1,70
Брянская область 61,90 51,50 47,00
Владимирская область 179,00 120,00 184,00
Воронежская область 5,80 5,50 14,20
Ивановская область 10,80 10,20 14,80
Калужская область 27,00 26,30 24,90
Костромская область 93,60 118,00 119,00
Курская область 4,10 3,70 3,30
Липецкая область 10,00 7,50 5,30
Московская область 10,00 10,90 24,90
Орловская область 0,70 0,50 0,30
Рязанская область 95,50 92,30 92,10
Смоленская область 6,80 5,80 5,30
Тамбовская область 27,20 29,00 32,10
Тверская область 60,70 54,60 50,00
Тульская область 2,80
Ярославская область 4,80 8,00 12,80
Республика Карелия 114,00 45,20 57,90
Республика Коми 100,00 109,00 129,00
Архангельская область 214,00 340,00 142,00
Вологодская область 200,00 213,00 234,00
Калининградская область 21,90 15,00 6,30
Ленинградская область 307,00 342,00 83,40
Мурманская область 15,60 12,70 12,80
Новгородская область 21,80 28,90 25,40
Псковская область 24,00 28,50 26,70
Республика Адыгея
Республика Крым
Краснодарский край 8,40 8,10 12,70
Ростовская область
Карачаево-Черкесская Республика
Республика Башкортостан 18,50 22,70 21,80
Республика Марий Эл 19,10 10,50 10,00
Республика Мордовия 4,30 7,70 5,80
Республика Татарстан 15,50 12,30 9,10
Удмуртская Республика 70,50 80,00 94,20
Чувашская Республика 12,30 27,50 10,10
Пермский край 104,00 66,40 79,80
Кировская область 183,00 137,00 201,00
Нижегородская область 50,90 48,90 51,90
Оренбургская область 4,10 2,70 0,10
Пензенская область 12,20 9,80 9,50
Самарская область 0,50 0,40 0,50
Саратовская область 5,60 4,40 4,40
Ульяновская область 58,30 49,80 50,40
Курганская область 91,60 100,00 132,00
Свердловская область 77,60 97,10 145,00
Тюменская область 206,00 66,20 105,00
Ханты-Мансийский авт. округ - Югра 172,00 14,70 35,10
Ямало-Ненецкий авт. округ
Челябинская область 36,90 25,50 35,50
Республика Алтай 10,30 7,70 6,20
Республика Тыва 1,00 0,80 0,90
Республика Хакасия 17,50 15,60 18,60
Алтайский край 131,00 216,00 195,00
Красноярский край 604,00 691,00 640,00
Иркутская область 685,00 810,00 864,00
Кемеровская область 25,60 24,90 26,50
Новосибирская область 30,70 42,50 45,90
Омская область 16,10 16,60 15,40
Томская область 114,00 111,00 93,40
Республика Бурятия 69,10 42,80 46,90
Республика Саха (Якутия) 90,60 21,70 35,90
Забайкальский край 25,90 17,20 19,40
Камчатский край
Приморский край 91,60 156,00 73,80
Хабаровский край 346,00 244,00 248,00
Амурская область 45,20 29,30 22,00
Сахалинская область 18,40 13,50 11,10
Еврейская автономная область 5,10 6,30

What is visible in these numbers

Five highest values: Russian Federation (4,933), Leningrad Region (342), Arkhangelsk Region (340), Vologda Region (234), Vladimir Region (184). Gap between highest and lowest — 7,047 times. The top five account for 88.3% of the total across all entries — distribution is heavily skewed toward the top

Observations are annual; total periods: 3. 75 of 75 possible values (100%) are filled, meaning the table is almost entirely complete

The same indicator for other periods

More in the section Trade»

How it is calculated

These data are used to calculate how much money in the region passes through retail and how much of it may reach your category