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Expected average number of children by assessment of living standards and desired number of children

· snapshot · rows: 6 · periods: 2 · section: Results of the survey

This indicator shows the planned number of children at various income levels, broken down by quality of life assessments from 'very good' to 'average.' The table rows categorize groups by well-being level, while columns compare responses from women and men. The data provides a cross-sectional view at the time of the survey, illustrating the link between economic status and reproductive intentions

Average expected number of children by standard of living assessment and gender: very good, good, average

row 1: 17.9% row 117.9% · 2.00 90-100 – Очень хорошее: 16.9% 90-100 – Очень хорошее16.9% · 1.89 30-40 – Плохое: 16.8% 30-40 – Плохое16.8% · 1.88 70-80 – Хорошее: 16.8% 70-80 – Хорошее16.8% · 1.87 50-60 – Среднее: 16.1% 50-60 – Среднее16.1% · 1.80 0-20 – Очень плохое: 15.5% 0-20 – Очень плохое15.5% · 1.74 11.2
how it will look

Set in numbers

6 series, arranged across 2 breakdowns rather than over time. 12 values in total.

“row 1” leads the table with 2, “0-20 – Очень плохое” closes it with 1.8.

All table numbers are series: 6
Series ЖенщиныМужчины
строка 1 2,00 2,00
90-100 – Очень хорошее 1,89 1,90
70-80 – Хорошее 1,87 1,85
50-60 – Среднее 1,80 1,84
30-40 – Плохое 1,88 1,82
0-20 – Очень плохое 1,74 1,79

How to read this table

Variations in responses by gender and income level highlight shifts in family planning. Comparing rows reveals the correlation between perceived standard of living and desired number of children. The columns for women and men allow for an assessment of the gender dimension of these expectations within the study

The same indicator in other breakdowns (1)

More in the section Results of the survey»

Period and application

The data is presented as a single cross-section without reference to specific years. This information is relevant for analyzing demographic trends and social policy planning. The dataset is intended for sociologists, demographers, and family planning specialists