Sentence examples for categories of wealth from inspiring English sources

The figure below shows how different categories of wealth are spread more widely in Britain: the steeper the gradient towards the right of the graph, the more unequal the distribution.

In order to present the reader with a snapshot of the distribution of the various categories of wealth for native, immigrant and mixed households, we provide wealth values in each decile for each wealth category.

What's more, it's hard to see how "owning a coat" has any bearing on whether or not she can pay her rent in Washington, a logic that suggests the only measurable categories of wealth are: "comfortably living in a nice apartment" or "has no clothes".

Predicted probabilities of being underweight, severely underweight, stunted or severely stunted are shown in Tables 2 and 3. Figures 2 5 display the trends in the disparities in severe underweight and severe stunting across categories of wealth and maternal education.

Total delivery fee exemption seems to benefit all categories of wealth without reinforcing inequalities between very poor and wealthy women in relation to access to delivery care quality, as found in another study in Burkina Faso [ 31].

Furthermore, most leave voters are middle class, or at least were of the generation whose housing and pension windfalls put them squarely in the category of wealth.

The majority of the households (52%) were in the poor category of wealth status, 20.2% in the medium, and 27.5% in the high wealth category [Table  1].

Finally, all women were grouped in three categories of household wealth status as poor, middle, or rich according to their household wealth score.

However, this decrease was unequal across categories of household wealth and maternal education.

There was a gradient in prevalence of low birthweight across categories of household wealth with the lowest prevalence among children from the highest quintile (13.72%; 95% CI: 11.12, 16.31), and the highest prevalence among children from the lowest quintile (19.86%; 95% CI: 11.29, 28.43) in the card sample.

Statistically significant differences were observed between the two samples as the questionnaire only participants had more frequently mothers with high education (31.3% versus 38.0%, p < 0.05), fathers with high education (47.8% versus 42.3%, p < 0.05) and belonged most frequently to the least poor category of the wealth index (.27.4% versus 21.7%, p < 0.05).