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Level of drinking water consumption by women aged 14 and over: by type of locality

· snapshot · rows: 9 · periods: 13 · section: Living conditions of the population

Drinking water consumption indicators reflect the habits of women aged 14 and older. Information is presented by settlement type, allowing for an assessment of differences in resource access or resident preferences. The study covers respondent categories living in settlements of varying sizes, including small localities with fewer than 200 people, medium-sized ones from 200 to 500 people, and large centers with a population of 5,000 or more. The statistics provide a clear overview of water consumption patterns among the country's female population

колонки: в том числе проживают Все респонден…Все респонденты в городских н…в городских населенных пунктах в т.ч. с числ…в т.ч. с численностью населения, тыс. человек — менеe 50,0 50,0– 99,9 100,0-249,9 250,0- 499,9 500,0- 999,9 1 млн. и более в сельских на…в сельских населенных пунктах в т.ч. с числ…в т.ч. с численностью населения, человек — до 200 201 - 1000 1001-5000 более 5000 Women aged 14 and over — total Women aged 14 and over — total / Все респонденты: 100.0 Women aged 14 and over — total / в городских населенных пунктах: 100.0 Women aged 14 and over — total / в т.ч. с численностью населения, тыс. человек — менеe 50,0: 100.0 Women aged 14 and over — total / 50,0– 99,9: 100.0 Women aged 14 and over — total / 100,0-249,9: 100.0 Women aged 14 and over — total / 250,0- 499,9: 100.0 Women aged 14 and over — total / 500,0- 999,9: 100.0 Women aged 14 and over — total / 1 млн. и более: 100.0 Women aged 14 and over — total / в сельских населенных пунктах: 100.0 Women aged 14 and over — total / в т.ч. с численностью населения, человек — до 200: 100.0 Women aged 14 and over — total / 201 - 1000: 100.0 Women aged 14 and over — total / 1001-5000: 100.0 Women aged 14 and over — total / более 5000: 100.0 Women aged 14 and over — less tha…Women aged 14 and over — less than 200 Women aged 14 and over — less than 200 / Все респонденты: 0.54 Women aged 14 and over — less than 200 / в городских населенных пунктах: 0.54 Women aged 14 and over — less than 200 / в т.ч. с численностью населения, тыс. человек — менеe 50,0: 0.41 Women aged 14 and over — less than 200 / 50,0– 99,9: 0.33 Women aged 14 and over — less than 200 / 100,0-249,9: 0.45 Women aged 14 and over — less than 200 / 250,0- 499,9: 0.62 Women aged 14 and over — less than 200 / 500,0- 999,9: 0.86 Women aged 14 and over — less than 200 / 1 млн. и более: 0.56 Women aged 14 and over — less than 200 / в сельских населенных пунктах: 0.55 Women aged 14 and over — less than 200 / в т.ч. с численностью населения, человек — до 200: 1.52 Women aged 14 and over — less than 200 / 201 - 1000: 0.65 Women aged 14 and over — less than 200 / 1001-5000: 0.41 Women aged 14 and over — less than 200 / более 5000: 0.39 Women aged 14 and over — 200-500 Women aged 14 and over — 200-500 / Все респонденты: 22.6 Women aged 14 and over — 200-500 / в городских населенных пунктах: 21.9 Women aged 14 and over — 200-500 / в т.ч. с численностью населения, тыс. человек — менеe 50,0: 24.5 Women aged 14 and over — 200-500 / 50,0– 99,9: 21.4 Women aged 14 and over — 200-500 / 100,0-249,9: 21.5 Women aged 14 and over — 200-500 / 250,0- 499,9: 21.9 Women aged 14 and over — 200-500 / 500,0- 999,9: 20.0 Women aged 14 and over — 200-500 / 1 млн. и более: 21.3 Women aged 14 and over — 200-500 / в сельских населенных пунктах: 24.9 Women aged 14 and over — 200-500 / в т.ч. с численностью населения, человек — до 200: 36.9 Women aged 14 and over — 200-500 / 201 - 1000: 26.1 Women aged 14 and over — 200-500 / 1001-5000: 24.5 Women aged 14 and over — 200-500 / более 5000: 21.3 Women aged 14 and over — 501-1000 Women aged 14 and over — 501-1000 / Все респонденты: 37.7 Women aged 14 and over — 501-1000 / в городских населенных пунктах: 37.9 Women aged 14 and over — 501-1000 / в т.ч. с численностью населения, тыс. человек — менеe 50,0: 37.6 Women aged 14 and over — 501-1000 / 50,0– 99,9: 41.5 Women aged 14 and over — 501-1000 / 100,0-249,9: 41.7 Women aged 14 and over — 501-1000 / 250,0- 499,9: 34.7 Women aged 14 and over — 501-1000 / 500,0- 999,9: 44.7 Women aged 14 and over — 501-1000 / 1 млн. и более: 34.2 Women aged 14 and over — 501-1000 / в сельских населенных пунктах: 36.7 Women aged 14 and over — 501-1000 / в т.ч. с численностью населения, человек — до 200: 32.8 Women aged 14 and over — 501-1000 / 201 - 1000: 36.4 Women aged 14 and over — 501-1000 / 1001-5000: 37.3 Women aged 14 and over — 501-1000 / более 5000: 37.4 Women aged 14 and over — 1001-1500 Women aged 14 and over — 1001-1500 / Все респонденты: 22.0 Women aged 14 and over — 1001-1500 / в городских населенных пунктах: 22.1 Women aged 14 and over — 1001-1500 / в т.ч. с численностью населения, тыс. человек — менеe 50,0: 20.5 Women aged 14 and over — 1001-1500 / 50,0– 99,9: 20.3 Women aged 14 and over — 1001-1500 / 100,0-249,9: 22.5 Women aged 14 and over — 1001-1500 / 250,0- 499,9: 22.0 Women aged 14 and over — 1001-1500 / 500,0- 999,9: 19.9 Women aged 14 and over — 1001-1500 / 1 млн. и более: 24.4 Women aged 14 and over — 1001-1500 / в сельских населенных пунктах: 21.7 Women aged 14 and over — 1001-1500 / в т.ч. с численностью населения, человек — до 200: 15.0 Women aged 14 and over — 1001-1500 / 201 - 1000: 19.5 Women aged 14 and over — 1001-1500 / 1001-5000: 23.0 Women aged 14 and over — 1001-1500 / более 5000: 24.4 Women aged 14 and over — 1501-2000 Women aged 14 and over — 1501-2000 / Все респонденты: 12.8 Women aged 14 and over — 1501-2000 / в городских населенных пунктах: 13.0 Women aged 14 and over — 1501-2000 / в т.ч. с численностью населения, тыс. человек — менеe 50,0: 10.2 Women aged 14 and over — 1501-2000 / 50,0– 99,9: 13.8 Women aged 14 and over — 1501-2000 / 100,0-249,9: 10.5 Women aged 14 and over — 1501-2000 / 250,0- 499,9: 15.4 Women aged 14 and over — 1501-2000 / 500,0- 999,9: 10.8 Women aged 14 and over — 1501-2000 / 1 млн. и более: 15.7 Women aged 14 and over — 1501-2000 / в сельских населенных пунктах: 12.2 Women aged 14 and over — 1501-2000 / в т.ч. с численностью населения, человек — до 200: 10.6 Women aged 14 and over — 1501-2000 / 201 - 1000: 13.7 Women aged 14 and over — 1501-2000 / 1001-5000: 10.9 Women aged 14 and over — 1501-2000 / более 5000: 12.4 Women aged 14 and over — more tha…Women aged 14 and over — more than 2000 Women aged 14 and over — more than 2000 / Все респонденты: 1.73 Women aged 14 and over — more than 2000 / в городских населенных пунктах: 1.92 Women aged 14 and over — more than 2000 / в т.ч. с численностью населения, тыс. человек — менеe 50,0: 2.10 Women aged 14 and over — more than 2000 / 50,0– 99,9: 1.56 Women aged 14 and over — more than 2000 / 100,0-249,9: 1.28 Women aged 14 and over — more than 2000 / 250,0- 499,9: 3.04 Women aged 14 and over — more than 2000 / 500,0- 999,9: 1.32 Women aged 14 and over — more than 2000 / 1 млн. и более: 1.92 Women aged 14 and over — more than 2000 / в сельских населенных пунктах: 1.12 Women aged 14 and over — more than 2000 / в т.ч. с численностью населения, человек — до 200: 1.49 Women aged 14 and over — more than 2000 / 201 - 1000: 1.41 Women aged 14 and over — more than 2000 / 1001-5000: 1.26 Women aged 14 and over — more than 2000 / более 5000: 0.50 Women aged 14 and over — did not …Women aged 14 and over — did not specify any amount Women aged 14 and over — did not specify any amount / Все респонденты: 1.93 Women aged 14 and over — did not specify any amount / в городских населенных пунктах: 1.94 Women aged 14 and over — did not specify any amount / в т.ч. с численностью населения, тыс. человек — менеe 50,0: 3.00 Women aged 14 and over — did not specify any amount / 50,0– 99,9: 1.02 Women aged 14 and over — did not specify any amount / 100,0-249,9: 2.01 Women aged 14 and over — did not specify any amount / 250,0- 499,9: 1.65 Women aged 14 and over — did not specify any amount / 500,0- 999,9: 1.55 Women aged 14 and over — did not specify any amount / 1 млн. и более: 1.75 Women aged 14 and over — did not specify any amount / в сельских населенных пунктах: 1.90 Women aged 14 and over — did not specify any amount / в т.ч. с численностью населения, человек — до 200: 1.70 Women aged 14 and over — did not specify any amount / 201 - 1000: 1.87 Women aged 14 and over — did not specify any amount / 1001-5000: 1.62 Women aged 14 and over — did not specify any amount / более 5000: 2.35 Women aged 14 years and over — do…Women aged 14 years and over — don't know Women aged 14 years and over — don't know / Все респонденты: 0.68 Women aged 14 years and over — don't know / в городских населенных пунктах: 0.64 Women aged 14 years and over — don't know / в т.ч. с численностью населения, тыс. человек — менеe 50,0: 1.72 Women aged 14 years and over — don't know / 50,0– 99,9: 0.05 Women aged 14 years and over — don't know / 100,0-249,9: 0.15 Women aged 14 years and over — don't know / 250,0- 499,9: 0.74 Women aged 14 years and over — don't know / 500,0- 999,9: 0.83 Women aged 14 years and over — don't know / 1 млн. и более: 0.20 Women aged 14 years and over — don't know / в сельских населенных пунктах: 0.83 Women aged 14 years and over — don't know / в т.ч. с численностью населения, человек — до 200: 0.07 Women aged 14 years and over — don't know / 201 - 1000: 0.43 Women aged 14 years and over — don't know / 1001-5000: 1.06 Women aged 14 years and over — don't know / более 5000: 1.21
how it will look

Set in numbers

This is a cross-section: 9 series across 13 breakdowns. 117 values in total.

“Women aged 14 and over — total” leads the table with 100, “Women aged 14 and over — less than 200” closes it with 0.387. The gap between them is 258-fold.

All table numbers are series: 9
Series Все респондентыв том числе проживают — в городских населенных пунктахв том числе проживают — в т.ч. с численностью населения, тыс. человек — менеe 50,0в том числе проживают — 50,0– 99,9в том числе проживают — 100,0-249,9в том числе проживают — 250,0- 499,9в том числе проживают — 500,0- 999,9в том числе проживают — 1 млн. и болеев том числе проживают — в сельских населенных пунктахв том числе проживают — в т.ч. с численностью населения, человек — до 200в том числе проживают — 201 - 1000в том числе проживают — 1001-5000в том числе проживают — более 5000
Женщины в возрасте 14 лет и более – всего 100,00 100,00 100,00 100,00 100,00 100,00 100,00 100,00 100,00 100,00 100,00 100,00 100,00
Женщины в возрасте 14 лет и более — менее 200 0,54 0,54 0,41 0,33 0,45 0,62 0,86 0,56 0,55 1,52 0,65 0,41 0,39
Женщины в возрасте 14 лет и более — 200-500 22,64 21,93 24,53 21,42 21,47 21,92 20,04 21,25 24,89 36,92 26,07 24,49 21,34
Женщины в возрасте 14 лет и более — 501-1000 37,65 37,94 37,60 41,54 41,72 34,66 44,74 34,23 36,75 32,77 36,38 37,28 37,40
Женщины в возрасте 14 лет и более — 1001-1500 22,00 22,09 20,46 20,29 22,46 22,01 19,91 24,40 21,72 14,98 19,51 22,97 24,41
Женщины в возрасте 14 лет и более — 1501-2000 12,83 13,02 10,16 13,78 10,46 15,37 10,76 15,70 12,24 10,55 13,69 10,92 12,41
Женщины в возрасте 14 лет и более — более 2000 1,73 1,92 2,10 1,56 1,28 3,04 1,32 1,92 1,12 1,49 1,41 1,26 0,50
Женщины в возрасте 14 лет и более — не указали какое-либо количество 1,93 1,94 3,00 1,02 2,01 1,65 1,55 1,75 1,90 1,70 1,87 1,62 2,35
Женщины в возрасте 14 лет и более — затруднились ответить 0,68 0,64 1,72 0,05 0,15 0,74 0,83 0,20 0,83 0,07 0,43 1,06 1,21

How to read this table

Table rows are divided by demographic groups of women, categorized by place of residence. When analyzing the figures, it is worth noting the comparison between respondents from sparsely populated areas and large centers. This information helps identify behavioral patterns across different population groups and evaluate study coverage. Column values help understand the distribution of shares within each selected category, which is useful for comparative analysis of habits among female residents in settlements with varying population densities

More in the section Living conditions of the population»

Period and application

The data presented are for reference purposes and reflect the results of a single cross-section by settlement. The information may be useful to sociology specialists, public utility workers, and experts studying quality of life. Using these figures helps better understand the drinking water needs of residents in different types of settlements and plan further research in this area based on current respondent coverage indicators

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