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Share of the population with access to high-quality drinking water, 2018–2019

· dynamics annual · rows: 86 · periods: 2 · section: Statistical yearbook "Sustainable Development Goals in the Russian Federation

In 2018 and 2019, different groups of citizens had access to clean water from centralized systems, and this indicator reflects the coverage of the population with quality water supply. The rows in the list are differentiated by territory: Russia as a whole and individual subjects, such as Belgorod or Bryansk regions, are indicated. The indicator is measured in percent and covers a two-year observation period

shown 25 largest of 86
unchanged Vologda Region · 2019: 51.6 · 2018: 43.7 · +7.91 Vologda Region +7.91 Kostroma Region · 2019: 69.1 · 2018: 62.9 · +6.15 Kostroma Region +6.15 Nenets Autonomous Okrug · 2019: 53.6 · 2018: 47.7 · +5.90 Nenets Autonomous Okrug +5.90 Kaluga Region · 2019: 80.8 · 2018: 78.6 · +2.17 Kaluga Region +2.17 Kursk Region · 2019: 95.9 · 2018: 94.2 · +1.70 Kursk Region +1.70 Vladimir Region · 2019: 88.7 · 2018: 87.4 · +1.35 Vladimir Region +1.35 Moscow Region · 2019: 91.7 · 2018: 90.9 · +0.88 Moscow Region +0.88 Tula Region · 2019: 90.5 · 2018: 90.1 · +0.35 Tula Region +0.35 Tambov Region · 2019: 89.3 · 2018: 89.3 · +0.05 Tambov Region +0.05 Yaroslavl Region · 2019: 91.0 · 2018: 91.0 · +0.03 Yaroslavl Region +0.03 Moscow · 2019: 99.6 · 2018: 99.6 · +0.00 Moscow +0.00 Belgorod Region · 2019: 93.7 · 2018: 93.7 · −0.01 Belgorod Region −0.01 Oryol Region · 2019: 92.7 · 2018: 92.8 · −0.05 Oryol Region −0.05 Russian Federation · 2019: 85.5 · 2018: 85.6 · −0.11 Russian Federation −0.11 Voronezh Region · 2019: 86.9 · 2018: 88.1 · −1.13 Voronezh Region −1.13 Ryazan Region · 2019: 90.7 · 2018: 92.2 · −1.54 Ryazan Region −1.54 Belgorod Region · 2019: 83.3 · 2018: 84.9 · −1.59 Belgorod Region −1.59 Republic of Komi · 2019: 89.8 · 2018: 91.7 · −1.93 Republic of Komi −1.93 Ivanovo Region · 2019: 82.9 · 2018: 85.7 · −2.82 Ivanovo Region −2.82 Smolensk Region · 2019: 60.2 · 2018: 63.3 · −3.09 Smolensk Region −3.09 Kaliningrad Region · 2019: 88.9 · 2018: 92.7 · −3.77 Kaliningrad Region −3.77 Tver Region · 2019: 70.8 · 2018: 74.6 · −3.81 Tver Region −3.81 Bryansk Region · 2019: 79.5 · 2018: 84.6 · −5.12 Bryansk Region −5.12 Republic of Karelia · 2019: 66.7 · 2018: 75.9 · −9.20 Republic of Karelia −9.20 Arkhangelsk Oblast (excluding autonomous okrug) · 2019: 62.2 · 2018: 71.6 · −9.45 Arkhangelsk… autonomous okrug)Arkhangelsk Oblast (excluding autonomous okrug) −9.45
how it will look

Set in numbers

Rosstat data for 2018–2019. Rows: 86, periods: 2. Shown by positions: Russian Federation; Belgorod Region; Bryansk Region; Vladimir Region; Voronezh Region and others

Moscow: indicator grew from 99.6 to 99.6 for 2018–2019 — by 0%. Of the 25 largest rows, 11 increased, 14 decreased

All table numbers are series: 86
Series 20182019
Российская Федерация 85,65 85,53
Белгородская область 84,89 83,31
Брянская область 84,63 79,51
Владимирская область 87,39 88,75
Воронежская область 88,07 86,94
Ивановская область 85,67 82,85
Калужская область 78,61 80,79
Костромская область 62,95 69,10
Курская область 94,18 95,88
Липецкая область 93,72 93,71
Московская область 90,85 91,73
Орловская область 92,75 92,70
Рязанская область 92,24 90,70
Смоленская область 63,29 60,20
Тамбовская область 89,25 89,30
Тверская область 74,57 70,76
Тульская область 90,13 90,48
Ярославская область 91,00 91,03
г. Москва 99,63 99,63
Республика Карелия 75,87 66,67
Республика Коми 91,70 89,77
Архангельская область (без АО) 71,65 62,20
Ненецкий автономный округ 47,68 53,58
Вологодская область 43,71 51,62
Калининградская область 92,67 88,90
Ленинградская область 78,87 80,34
Мурманская область 99,76 99,41
Новгородская область 61,91 73,40
Псковская область 81,85 76,73
г. Санкт-Петербург 100,00 100,00
Республика Адыгея 80,68 70,26
Республика Калмыкия 55,90 7,42
Республика Крым 78,02 72,38
Краснодарский край 94,34 94,50
Астраханская область 78,54 80,21
Волгоградская область 85,60 83,34
Ростовская область 87,56 78,49
г. Севастополь 97,41 97,51
Республика Дагестан 63,20 63,40
Республика Ингушетия 78,90 76,10
Кабардино-Балкарская Республика 91,20 81,31
Карачаево-Черкесская Республика 69,73 61,51
Республика Северная Осетия – Алания 87,00 86,83
Чеченская Республика 69,93 70,26
Ставропольский край 95,30 95,34
Республика Башкортостан 90,17 87,60
Республика Марий Эл 90,28 90,30
Республика Мордовия 87,69 87,70
Республика Татарстан 97,42 92,77
Удмуртская Республика 90,93 90,70
Чувашская Республика 79,17 78,25
Пермский край 91,53 89,11
Кировская область 86,62 86,30
Нижегородская область 92,90 92,87
Оренбургская область 95,08 94,02
Пензенская область 98,13 89,39
Самарская область 85,71 85,69
Саратовская область 87,25 84,57
Ульяновская область 96,30 92,71
Курганская область 61,95 61,92
Свердловская область 55,50 76,65
Тюменская область (без АО) 75,40 77,75
Ханты-Мансийский автономный округ – Югра 84,95 76,08
Ямало-Ненецкий автономный округ 88,28 87,90
Челябинская область 91,15 90,79
Республика Алтай 75,11 75,40
Республика Бурятия 46,29 46,47
Республика Тыва 24,71 24,71
Республика Хакасия 75,50 75,51
Алтайский край 92,40 92,40
Забайкальский край 51,20 45,18
Красноярский край 90,02 92,26
Иркутская область 76,61 76,29
Кемеровская область 98,31 98,30
Новосибирская область 90,12 86,70
Омская область 88,71 86,98
Томская область 91,48 87,36
Республика Саха (Якутия) 61,59 54,01
Камчатский край 98,81 98,83
Приморский край 80,75 80,74
Хабаровский край 81,11 82,46
Амурская область 70,91 70,87
Магаданская область 97,75 95,30
Сахалинская область 79,97 85,04
Еврейская автономная область 61,60 59,93
Чукотский автономный округ 74,85 76,48

How to read this table

Differences between the rows allow for a comparison of the situation nationwide and in specific regions to identify gaps in the quality of utility services. One can compare the average level for the Russian Federation with data for individual regions presented in the list. This helps to understand how evenly quality water supply is distributed across the country's territory in the specified years

What is visible in these numbers

Five largest values: Moscow (99.6), Kursk Region (95.9), Lipetsk Region (93.7), Oryol Region (92.8), Kaliningrad Region (92.7). The top five account for 22.8% of the total for all positions

Observations are annual, the dataset contains 2 periods. Of 50 possible values, 50 (100%) are filled — almost no empty cells remain

The same indicator for other periods

More in the section Statistical yearbook "Sustainable Development Goals in the Russian Federation»

Period and application

Statistics are published as part of the yearbook on sustainable development goals in the Russian Federation. The data are relevant for 2018 and 2019 and are suitable for analyzing the quality of utility infrastructure. The information is useful for specialists in housing and utilities, ecology, and regional governance

How it is calculated

Such data are needed when a figure in a presentation must be defended with a reference to an official source

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