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Female-Based Urban Poverty in Parts of Sehore City, India Cover

Female-Based Urban Poverty in Parts of Sehore City, India

Open Access
|Jun 2024

Figures & Tables

Fig. 1.

Location map of the study area, Sehore M.C., Madhya Pradesh.
Location map of the study area, Sehore M.C., Madhya Pradesh.

Fig. 2.

Economic poverty domain.
Source: own compilation.
Economic poverty domain. Source: own compilation.

Fig. 3.

Education poverty domain.
Source: own compilation.
Education poverty domain. Source: own compilation.

Fig. 4.

Lack of the empowerment domain.
Source: own compilation.
Lack of the empowerment domain. Source: own compilation.

Fig. 5.

Health poverty domain.
Source: own compilation.
Health poverty domain. Source: own compilation.

Fig. 6.

Lack of decision-making power domain.
Lack of decision-making power domain.

Fig. 7.

Time poverty domain.
Time poverty domain.

Fig. 8.

Overall weighted deprivation scores, female-based urban poverty index, Sehore M.C.
Overall weighted deprivation scores, female-based urban poverty index, Sehore M.C.

List of indicators for the female-based Urban Poverty Index_

No.DomainIndicator
1Economic poverty1. % of non-working females
2. % of females earning less than average income of females
3. % of female workers in unorganised sector1
4. % of females as unpaid family workers
5. % of female workers as non-regular earners
6. % of females in hazardous jobs
7. % of females with work-related ailments
8. % of females working under compassion
9. % of females with no job security
10. % of females with no or low job satisfaction
11. % of females with no or conditional social acceptance
2Educational poverty1. % of illiterate women
2. % of females having education below graduation
3. % of females without technical/vocational training
3Social poverty1. % of females having no freedom to visit market place alone
2. % of females having no freedom to visit health facility alone
3. % of females having no control over personal income
4. % of females having no exposure to media
4Health poverty1. % of females not having normal BMI2
2. % of females never consuming milk, pulses/beans and green vegetables
3. % of females having no access to Anganwadi3
4. % of females having no access to health services
5. % of females having no awareness of common ailments
5Lack of decision making power at household level1. % of females with decision deficit on major household purchasing
2. % of females with decision deficit on education/expense of children
3. % of females having no decision on purchasing medical treatment
4. % of females having no decision on purchasing daily food items
6Lack of time for relaxation1. % of females spending more than four hours on unpaid domestic chores
2. % of female workers working more than average working hours for women
3. % of females whose work is not shared by others within the household

Normalised matrix_

0.400.590.350.340.270.18
0.130.200.350.340.380.24
0.130.070.120.110.160.18
0.130.070.120.110.110.18
0.080.030.040.060.050.18
0.130.050.040.040.020.06

Ratio index_

n12345678910
RI0.000.000.580.901.121.241.321.411.461.49

Eigen vector showing the strength of the domains_

VariableEigen vectorRank
Economic poverty (18–65 years of age)0.3541
Educational poverty (all females >7 years of age)0.2722
Social poverty – lack of women empowerment (>18 years of age)0.1283
Health poverty (15–49 years of age)0.1194
Lack of decision-making power at HH level (>18 years of age)0.0725
Lack of time for relaxation (>15 years of age)0.0566
DOI: https://doi.org/10.14746/quageo-2024-0017 | Journal eISSN: 2081-6383 | Journal ISSN: 2082-2103
Language: English
Page range: 17 - 35
Submitted on: Aug 2, 2022
Published on: Jun 21, 2024
Published by: Adam Mickiewicz University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
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© 2024 Farheen Siddiqui, Shahnaz Parveen, published by Adam Mickiewicz University
This work is licensed under the Creative Commons Attribution 4.0 License.