Self-assessment by women of the impact of additional state support measures on childbirth
%
State support measures for families with children may stimulate fertility; this table records women's opinions on this effect. Rows are categorized by birth order (first, second, and third child) to compare the significance of support at different stages of motherhood. Data were collected during a 2012 sample survey on the population's reproductive intentions and are presented in percent
Chart showing women's self-assessment of the impact of additional state support measures on the decision to have a child, percent
Set in numbers
6 series in %, arranged across 4 breakdowns rather than over time. 24 values in total.
The largest value belongs to “Первый” — 0.123 %; the smallest is “Третий” at 0.011 %. The gap between them is 10.7-fold.
All table numbers are series: 6
| Series | помогло, появился ребенок, рождение которого до этого откладывали | эти меры помогли принять решение о рождении ребенка, которого без этого не могли себе позволить | не помогло | трудно сказать |
|---|---|---|---|---|
| Первый | 0,06 | 0,02 | 0,33 | 0,11 |
| Второй | 0,08 | 0,04 | 0,18 | 0,07 |
| Третий | 0,03 | 0,01 | 0,04 | 0,02 |
| Первый | 0,07 | 0,03 | 0,33 | 0,12 |
| Второй | 0,08 | 0,03 | 0,17 | 0,07 |
| Третий | 0,03 | 0,01 | 0,05 | 0,01 |
How to read this table
Comparing responses by birth order helps identify which family categories benefit most from support measures. Columns reflect a spectrum of opinions, ranging from those who believe support influenced their decision to have a child to those who found it difficult to provide a definitive assessment. This approach captures women's actual perception of government programs at the time of the study
What is visible in these numbers
The figures are index or percentage values, so they cannot be added up across rows: each one is measured against its own base.
More in the section Sample survey of reproductive plans of the population»
Period and application
The study results were obtained in 2012 through a sample survey. The data represent a cross-sectional snapshot and do not show temporal trends; therefore, they should be used to analyze the situation during a specific period. This information is useful for demographers and sociologists studying reproductive behavior and the effectiveness of social policy measures
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