SlideShare a Scribd company logo
1 of 6
Download to read offline
International Journal of Humanities and Social Science Invention
ISSN (Online): 2319 – 7722, ISSN (Print): 2319 – 7714
www.ijhssi.org ||Volume 4 Issue 8 || August. 2015 || PP.25-30
www.ijhssi.org 25 | P a g e
A Geographical Study of Working Women from Kinwat Region
1
Avinash Kadam, 2
Vidhyatai Patil
1
Assistant Professor, School of Earth Sciences, SRTM University, Nanded 431606, India
2
Research Scholar, School of Earth Sciences, SRTM University, Nanded 431606, India
Abstract: Gender discrimination is a prime cause of all other concerned problems of the society.
Discrimination starts with the birth. Now a day, it has observed that many social groups and families created
such issues from newly born babies. Many cases of female foeticide have also been observed in last 10 years. In
short, status of women in their society, group and family have not separate identity, even though they are
actively participated in social, cultural, domestic and economic activities. Considering these views in mind, the
present investigation has been designed to assess the influence of different social-cultural, economical and
geographical parameters on the women workers. For this, the Kinwat region from Nanded district has been
selected as a study area. Systematic and Simple Random Sampling Method have been applied for covering all
types of workers from all castes and categories. The present investigation is mainly based on primary data. The
study concluded that there is need to educate and promote women for professional jobs, both for family level
development and more importantly for women enrichment, so it may help to minimize level of gender
discrimination.
Keywords : Working women, Caste, Category, Work Participation
I. Introduction
Many times, our Indian cultural literature remarked that women have prestigious position in the society
at early age (Raval, 2013). Even historical and religious evidences have been proved such facts with so many
examples (Gupta, 2014). But after industrialization and colonization, economic tools have overcome the socio-
cultural and even religious positions. In this process, family setup has been firstly disturbed with wide range and
different angles. In the beginning, migration was one of the main causes behind it. It results, the growth of wider
gap between the genders (Kaur, 2004). Now a day, social, economical, cultural and likewise aspects are mainly
responsible for the same (Field et al., 2010). Things like social prestige, level of economical tolerance mainly
power of consumerism and expenses, social-cultural standard etc are also affecting on the gender disparities
(Bano, 2012; Adhikary and Dutta, 2014). Such type of changes has also been observed from global to local and
village to family levels. In the name of development, majority of the women have deprived from the sources of
economy by prestigious issues, cultural myths etc. Actually, they have that much ability to improve themselves
with their family (Sinha and Coppoletta, 2011). Furthermore, females have position after men or actually they
have not separate identity in case of economical, social, cultural and over all matters of the society. It is because
of adverse flow of thinking; of course, there are numbers of factors responsible for such situations. According to
Vani et al. (2009) and Chakraborty (2013), birth and death rate of female and gender discrimination varies with
religion and caste. At the same time, social, economical and other residential (Gosal, 1993) surrounding factors
have also been acting adversely in the process of women development. There are different angles which are
directly or indirectly crossing the issue. That’s why, spatio-temporal studies related to gender have importance
and scope for frequent and periodical analysis of the same. Many scholars have also been studied on gender
(Ghani et al., 2013), literacy (Rukhsana and Alam, 2014), level of education (Suguna, 2011 and Sonowal, 2013),
castes (Rao, 2013; Eswaran et al., 2011 and Siddique, 2008), religion (MWCD, 2007), region (Srivastava and
Srivastava, 2010 and Dollar and Gatti, 1999) etc for correlating women development with other geographical
aspects. Considering these studies and their views in mind, the present investigation has been designed to assess
the influence of different geographical parameters on status and number of women workers. It may helps to find
out root leveled cause-effect relations in case of female disparities in the rural areas of India, with reference to
their caste, category, socio-economical condition etc. For this, Kinwat region, situated in tribal zone of rural
Maharashtra, have been selected as the micro leveled study area for the present analysis.
II. Study area
The selected study area i.e. Kinwat region is a part of Kinwat tahsil (Nanded District). The
geographical location of Kinwat tahsil is between 19 13’ 51” north to 19 55’ 48” north latitude and 77 57’
23” east to 78 22’ 24” east longitude. It is one of the important tribal-forest zones of the state, which has thick
teak forest with bamboo and various types of medicinal plants. Kinwat town is a headquarter of the tahsil. In
2011, the tahsil has one town and 191 villages. According to 2011 census, the tahsil has 2,47,786 total
A Geographical Study of Working…
www.ijhssi.org 26 | P a g e
population, where as Kinwat town has just 28,454 population. Still today, the town and all villages from the
tahsil have rural in nature.
Figure 1: Location Map of Kinwat Region (Study Area)
(Source: Base Map taken from District Census Handbook, Nanded District, Census of India, 1991)
The Kinwat town and surrounding 48 villages have been selected as study area for the present
investigation (Figure 1). These villages are depending upon Kinwat town for different amenities i.e. educational,
medical, transport, domestic services etc. For this, there is daily migration, from such villages to the town. It is
therefore these villages along with the town were selected for this investigation as study area for fulfillment of
the following objectives.
III. Objectives
1. To study the general geographical, social and economical aspects of the study area.
2. To observe caste-wise and category-wise working women with reference to their nature and type of work.
3. To find out cause-effect relationship between selected aspects, for assessing their overall influence on
women workers.
IV. Hypothesis
The socio-economical aspects of the region have influence on nature and type of work at rural areas
especially in case of women workers.
V. Data Base and Methodology
The present investigation is mainly based on primary data sources. The primary survey has been
conducted in the selected Kinwat town and all 48 villages from the study area. In case of Kinwat town,
Systematic Random Sampling Method has been applied for covering all types of worker from all castes and
categories. It also helped to cover all wards, tradition based colonies, old core zones, newly established colonies
in the hierarchy of the town, etc. On the other hand, Simple Random Sampling Method has been used for
conducting survey of surrounding villages. About 63 per cent of women workers from the study area have been
covered through ODM (Onetime Dialogue Method) for collection of information regarding type of work, caste,
education, income, working duration, travelling distance etc. Rest of about 37 per cent samples has been
covered by CDM (Continuous Dialogue Method). It helped to understand the issues, problems and prospects of
women worker at individual and micro level by taking number of rechecking exercise.
A Geographical Study of Working…
www.ijhssi.org 27 | P a g e
By both ODM and CDM methods, all types of working classes viz. Professional work (Doctors,
Advocate), Government Job (I to III), Skilled and Higher Educational based services (All Teachers), Skilled and
Innovative Self Oriented work (SISOW) like Shops, Beauty parlors, Tailors, etc. Governmental Job (IV),
Tradition based services (Lohar, Burud, Pot makers, etc), Helper and Unskilled work (Dhobi, Maid, etc) etc has
been covered. Here, domestic work and work at own farm has not considered as a worker, so it has not been
taken as a sample in the case study.
From these surveys, 1326 working women as a sample were investigated. All the samples classified
with their categories e.g. Open, Other Backward Class (OBC), Nomadic Tribes (NT), Scheduled castes (SC) and
Scheduled Tribes (ST). The data have been analyzed and presented with the help of different types of computer
tools and techniques.
VI. Result and Discussion
Collected data and information from primary and secondary sources have been analyzed by
proper methodology. The results and their cause-effect relationships have been discussed with following
sub points.
Women Population
Firstly, the study tried to enlist varies caste with their categories and proportion of population in
the village. The exercise aims to understand and compare the proportion of workers and actual
population with respect to their castes and categories.
Table 1: Category-wise Proportion of Women
Sr. No. Category
Women Population in per cent
As per 2011 Census As per Field work*
1 Open
60.64
23.50
2 OBC 4.32
3 NT 33.76
4 SC 9.96 11.04
5 ST 29.40 27.38
Total 100.00 100.00
(Source: * Field Work, April-May, 2014 and Jan-Feb, 2015)
Table 1 showing category-wise proportion of women to total women population as per the census 2011
and primary survey conducted in the study region by researcher. In the primary visits, data from various castes
have been collected and summarized with their categories, as mentioned in the table. As per the data, ST women
population have second largest group in the society. STs and SCs have about 40 per cent proportion.
Work Participation
Category wise working women with reference to their type of work has analyzed and tabulated in table
2. The proportion of SC women worker is higher having with about 34 per cent to total workforce, which is
highest in all other categories. Open category stood as the second largest category (21.80 per cent). Least
number of women worker observed from OBC category.
Table 2: Work Type wise participation
Sr.
No. Work Type/ Class
Data (In per cent)
Open OBC NT SC ST Total
1 Professional work 60.00 0.00 0.00 20.00 20.00 100.00
2 Government Job ( I to III) 16.70 25.00 16.70 33.30 8.30 100.00
3 SHE based services 40.00 4.30 14.30 28.60 12.80 100.00
4 SISOW 24.20 12.10 15.20 36.40 12.10 100.00
5 Government Job (IV) 9.00 7.50 16.40 43.20 23.90 100.00
6 TBS 0.00 16.70 30.00 53.30 0.00 100.00
7 Helper 19.20 26.90 15.40 23.10 15.40 100.00
8 Unskilled work 17.80 16.40 13.70 31.50 20.60 100.00
Total 21.80 12.00 15.60 34.70 16.00 100.00
(Source: Field Work, April-May, 2014 and Jan-Feb, 2015)
A Geographical Study of Working…
www.ijhssi.org 28 | P a g e
Even though, the general rank showing progressive status and share of SC and especially ST women,
the nature of work explaining micro differences and dilemma in the general picture. It is only because of such
economically backward categories are engaged more with numbers in unskilled, helpers, fourth class
governmental work and TBS (Tradition Based Services). This means that they are still not getting proper and
sufficient education and training. Many of them are illiterate also. In case of ST, NT and OBC women, more or
less they have same problems for getting jobs and working as a stable status with sustainable manner.
About 20 per cent women are engaged in Skill and Higher Educational (SHE), Government Job (IV)
and Unskilled work each. Here also OBC, NT and ST having very less proportion (Table 3). This simply means
that some women have problems with education, professional training, traditional skills, etc. It has also observed
in in-depth field discussions that women are not working outside their house, only because of prestige issues,
security, etc. even many have urgent economic need.
Table 3: Category with different types of work
Sr.
No. Work Type/ Class
Data (In per cent)
Open OBC NT SC ST All
1 Professional work 12.70 0.00 0.00 2.70 5.80 4.60
2 Government Job ( I to III) 2.80 7.70 3.90 3.50 1.90 3.70
3 SHE based services 39.40 7.70 19.60 17.70 17.30 21.50
4 SISOW 11.30 10.30 9.80 10.60 7.70 10.10
5 Government Job (IV) 8.50 12.80 21.60 25.70 30.80 20.50
6 TBS 0.00 12.80 17.60 14.20 0.00 9.20
7 Helper 7.00 17.90 7.80 5.30 7.70 8.00
8 Unskilled work 18.30 30.80 19.70 20.30 28.80 22.40
Total 100.00 100.00 100.00 100.00 100.00 100.00
(Source: Field Work, April-May, 2014 and Jan-Feb, 2015)
As per table 2, professional activities are running through Open, SC and ST women with about 60, 20
and 20 per cent participation respectively. But within the category, only about 12, 3 and 4 per cent working
women respectively are engaged in the same from particular category. Actually, women from OBC, NT and
such categories should engage with higher proportion in tradition based services. But it has not observed more
than 18 per cent. It means that, TBS having operational and qualitative problems or is not providing enough gain
or people are not taking interest in the same.
Educational Status
Education is a prime factor for overall development. It is therefore need to understand the educational
status of investigated working women. The analyzed data have been tabulated in table 4. It shows about 52 per
cent women from all categories are not completed their education above secondary level, including 18 per cent
illiteracy. On the other hand, only about 27 per cent have benefited by certificate course and higher education.
This also means that only 7 per cent women have some professional training and skills. The average picture of
educational status has matching with ST women workers. Comparing all other categories, Open category
women have satisfactory situation in the same. In case of OBC and NT, more or less 65 per cent women are
illiterate and educated not above 10th
standard.
Table 4: Category-wise Educational level of women
Sr. No. Level of Education
Data (In per cent)
OPEN OBC NT SC ST All
1 Illiterate 5.63 20.51 21.57 20.35 35.14 18.20
2 1st to 10th class 24.35 46.15 37.25 32.75 13.51 34.00
3 HSC 12.68 5.13 11.76 13.27 10.81 11.00
4 UG 4.23 17.95 7.84 12.39 5.41 9.20
5 Degree leveled Professional Courses 37.62 10.26 15.69 15.93 24.32 19.90
6 Higher Education 15.49 0.00 5.89 5.31 10.81 7.70
Total 100.00 100.00 100.00 100.00 100.00 100.00
(Source: Field Work, April-May, 2014 and Jan-Feb, 2015)
A Geographical Study of Working…
www.ijhssi.org 29 | P a g e
Work experience
Educational qualification and or any skill are the prime requisites of outdoor work. In addition to these,
family acceptance, status and economic need, self confidence, decision making power and skills are also ruling
as a principal cause behind proportion of workforce especially women participation (Siddiqui, 2012). It differs
from caste to caste and category to category. Sometimes, prestige issues also affecting on the same. Taking
these facts in mind, the present investigation has also tried to correlate these things with various castes and
categories. After 2011, proportion of SC and NT (22 and 25 per cent respectively) women is on higher side. The
growth of workforce is showing decreasing trend in case of Open and OBC. Increasing trend observed in rest of
the categories. The highly jumping increasing trend observed in SC women (11 to 43 per cent in 1989 to 2010).
Distance
Distance from home to workplace is also one of the prime parameter for assessing the problems of
women workers. It has importance regarding security (Biswas and Soni, 2015) and it also provides information
about level of social freedom and domestic responsibility, which have been directly or indirectly influencing the
status of women. So, economically backward groups may suffer some opportunities only because of the
distance. In the present study, category wise women workers have been divided on the basis of distance from
home to work place i.e. less than one km, one to five km and more than five km. it has observed that just less
than 10 per cent women worker are traveling above 4 km distance.
VII. Conclusion
The lower status of female in social structure is one of the important factors which create so many
questions about women development. Female foeticide, infanticide, gender disparity, dowry, domestic violence
and so many problems create the question about her existent. It is difficult to assess criminal discrimination on
the basis of caste and category, because it is the matter of thinking. Through such research analysis, it may just
analyze of the issues with caste, category, region, economic base of the family, level of education, for
understanding base of the society etc.
Now a day, it is prime need to work professionally at outside the home, irrespective of gender. Such
changed phenomenon has also been observed in the study area which has forest and tribal based. But
unfortunately, issues related to prestige and likewise have been observed particularly in case of Open category
women workers. This picture has also been seen OBC and NT category.
It is therefore need to educate and promote women for professional jobs both for family level
development and more importantly for women enrichment. Those may help to minimize level of gender
discrimination.
References
[1] Adhikary M. and Dutta P. (2014). Empowerment and Domestic Violence: An Empirical Investigation on Rural Women in
Bankura Distinct. International Journal of Social Sciences, Vol.3. No. 4, December, 2014, pp. 427-442.
[2] Bano S. (2012). Gander Disparity in Varanasi City. The Deccan Geographer, Vol. 50, No. 1, June, 2012, pp. 39-53.
[3] Biswas A. and Soni C. (2015).Empowerment of Women in India: A reality or a Myth, Journal for Studies in Management and
Planning. Vol.1, Issue .4, May 2015, pp. 260-273.
[4] Chakraborty A. (2013). A Review of Gender Disparity in Education Sector in India. International Journal of Social Science, June
2013. pp. 43-52.
[5] District Census Handbook, Nanded District, Census of India 1991 and 2011.
[6] Dollar D. and Gatti R. (1999). Gender Inequality, Income, and Growth: Are Good Times Good for Women?, Policy Research
Report on Gender and Development, working paper series, No. 1, May 1999, pp.1-40.
[7] Eswaran M, Ramaswami B and Wadhwa W. (2011). Status, Caste and the Time Allocation of Women in Rural India. A Report
published by Indian Statistical Institute, Planning Unit, New Delhi, September 2011, pp.1– 28.
[8] Field E, Javachandran S and Pande R. (2010). Do Traditional Institutions Constrain Female Entrepreneurship? A Field
Experiment on Business Training in India. Traditional Institutions and Female Entrepreneurship, Vol.100, No. 2, May 2010,
pp.1-5.
[9] Ghani E, Kerr W and Connell S.D. (2013). Promoting Women’s Economic Participation in India, A report by Poverty Reduction
and Economic Management (PREM) Network, February, 2013. Pp. 1-6.
[10] Gosal R.P. (1993). Scheduled Caste Population and Urbanization in India- A Spatial Analysis, Geographical Review of India,
Vol. 55, No. 3, September, 1993. Pp. 25-38.
[11] Gupta R. (2014). Socio-Economic Condition of Working Woman In India - With Special Reference To Muzaffarnagar District,
U.P. Researchjournali’s Journal of Economics, Vol. 2, No. 4, April 2014, pp. 1-10.
[12] Kaur R. (2004). Across-region marriages: Poverty, female migration and the sex ratio. Economic and Political weekly, June 19,
2004, pp. 2595-2603.
[13] MWCD, 2007. (Ministry of Women and Child Development), Department of Women and Child Development, (2007).An
Analytic Study of Education of Muslim Women and Girls in India. October 2007, pp. 23.
[14] Rao P. (2013). Socioeconomic Status of Scheduled Tribes. MERC Globe’s International Journal of Management, Vol.1. Issue. 1.
July, 2013. Pp. 36-50.
[15] Raval J.A. (2013). Women Education in Ancient India. International Multidisciplinary Journals of Applied Sciences, Vol.1, June
2013. Pp. 87-88.
A Geographical Study of Working…
www.ijhssi.org 30 | P a g e
[16] Rukhsana and Alam A. (2014). Literacy Differentials among Scheduled Caste and Non-Schedule Castes in West Bengal, India:
A District Wise Study. International Journal of Innovative Research in Science, Engineering and Technology, Vol. 3, March,
2014. Pp. 10705-10712.
[17] Siddique Z. (2008). Cast Based Discrimination: Evidence and Policy. IZA Discussion Paper No. 3737, September, 2009, pp. 1-
44.
[18] Siddiqui A. B. (2012). Problems Encountered by Women Entrepreneurs in India. International Journal of Applied Research and
Studies, Vol. 1. Issue, 2, Sept-Nov, 2012, pp. 1-11.
[19] Sinha D. and Coppoletta R. (2011). The Invisible Half – Women’s Status in Palanpur. Asia Research Center Working Paper 50,
2011. Pp. 1-16
[20] Sonowal M. (2013). Impact of Education in Women Empowerment: A Case Study of SC and ST women of Sonitpur District,
Assam. IJCAES Special Issue on Basic, Applied & Social Sciences, Vol. 3, January 2013, pp. 27-33.
[21] Srivastava N. and Srivastava R. (2010). Women, Work, and Employment Outcomes in Rural India. Economic & Political
Weekly, vol. xlv, No. 28, July 10, 2010. PP. 49-63.
[22] Suguna M. (2011). Education and Women Empowerment in India. International Journal of Multidisciplinary Research, Vol.1
Issue 8, December 2011, pp.198-204.
[23] Vani B, Toan Do Q, Iyer S. and Joshi S. (2009). Missing Women and India’s Religious Demography. Policy Research Working
Paper 5096, October, 2009. pp. 1-29.

More Related Content

What's hot

11.quality of life of slum women a case study of mangalore city
11.quality of life of slum women a case study of mangalore city11.quality of life of slum women a case study of mangalore city
11.quality of life of slum women a case study of mangalore city
Alexander Decker
 
Rural women’s contribution in family budget a case study of district layyah
Rural women’s contribution in family budget a case study of district layyahRural women’s contribution in family budget a case study of district layyah
Rural women’s contribution in family budget a case study of district layyah
Alexander Decker
 
Influence of Education and Family Size on the Effectiveness of NULM National ...
Influence of Education and Family Size on the Effectiveness of NULM National ...Influence of Education and Family Size on the Effectiveness of NULM National ...
Influence of Education and Family Size on the Effectiveness of NULM National ...
ijtsrd
 
Prof. Vibhuti Patel on Women's Studies in Praxis- Dr.Neera Desai's Contributi...
Prof. Vibhuti Patel on Women's Studies in Praxis- Dr.Neera Desai's Contributi...Prof. Vibhuti Patel on Women's Studies in Praxis- Dr.Neera Desai's Contributi...
Prof. Vibhuti Patel on Women's Studies in Praxis- Dr.Neera Desai's Contributi...
VIBHUTI PATEL
 
19 role of women in service sector -130-139
19 role of women in service sector -130-13919 role of women in service sector -130-139
19 role of women in service sector -130-139
Alexander Decker
 

What's hot (20)

11.quality of life of slum women a case study of mangalore city
11.quality of life of slum women a case study of mangalore city11.quality of life of slum women a case study of mangalore city
11.quality of life of slum women a case study of mangalore city
 
19. sangita karmakar, bhupen barman and ranjan roy
19. sangita karmakar, bhupen barman and  ranjan roy19. sangita karmakar, bhupen barman and  ranjan roy
19. sangita karmakar, bhupen barman and ranjan roy
 
Rural women’s contribution in family budget a case study of district layyah
Rural women’s contribution in family budget a case study of district layyahRural women’s contribution in family budget a case study of district layyah
Rural women’s contribution in family budget a case study of district layyah
 
3 Unpaid Women Worker as Disguised Exclusion: The Indian Perspective, Wendy O...
3 Unpaid Women Worker as Disguised Exclusion: The Indian Perspective, Wendy O...3 Unpaid Women Worker as Disguised Exclusion: The Indian Perspective, Wendy O...
3 Unpaid Women Worker as Disguised Exclusion: The Indian Perspective, Wendy O...
 
Deprivation in Socio Economic Status of Scheduled Castes and Scheduled Tribes...
Deprivation in Socio Economic Status of Scheduled Castes and Scheduled Tribes...Deprivation in Socio Economic Status of Scheduled Castes and Scheduled Tribes...
Deprivation in Socio Economic Status of Scheduled Castes and Scheduled Tribes...
 
Influence of Education and Family Size on the Effectiveness of NULM National ...
Influence of Education and Family Size on the Effectiveness of NULM National ...Influence of Education and Family Size on the Effectiveness of NULM National ...
Influence of Education and Family Size on the Effectiveness of NULM National ...
 
Quality of Work Life of Women Employee Problems in Banking Sector: A Study in...
Quality of Work Life of Women Employee Problems in Banking Sector: A Study in...Quality of Work Life of Women Employee Problems in Banking Sector: A Study in...
Quality of Work Life of Women Employee Problems in Banking Sector: A Study in...
 
Women as policy makers:Chattopadhyay Raghabendra and Esther Duflo
Women as policy makers:Chattopadhyay Raghabendra and Esther DufloWomen as policy makers:Chattopadhyay Raghabendra and Esther Duflo
Women as policy makers:Chattopadhyay Raghabendra and Esther Duflo
 
FAMILY IN THE STRUCTURE OF LIFE VALUES OF FEMALE MIGRANT WORKERS (AS EXEMPLIF...
FAMILY IN THE STRUCTURE OF LIFE VALUES OF FEMALE MIGRANT WORKERS (AS EXEMPLIF...FAMILY IN THE STRUCTURE OF LIFE VALUES OF FEMALE MIGRANT WORKERS (AS EXEMPLIF...
FAMILY IN THE STRUCTURE OF LIFE VALUES OF FEMALE MIGRANT WORKERS (AS EXEMPLIF...
 
Working Women and Their Professional Life in Modern Society
Working Women and Their Professional Life in Modern SocietyWorking Women and Their Professional Life in Modern Society
Working Women and Their Professional Life in Modern Society
 
Gender Gap of C.D. Block Kaliachak –II in Malda District, West Bengal
Gender Gap of C.D. Block Kaliachak –II in Malda District, West BengalGender Gap of C.D. Block Kaliachak –II in Malda District, West Bengal
Gender Gap of C.D. Block Kaliachak –II in Malda District, West Bengal
 
An Empirical Analysis of the Empowerment of Rural Women Through Panchayati Ra...
An Empirical Analysis of the Empowerment of Rural Women Through Panchayati Ra...An Empirical Analysis of the Empowerment of Rural Women Through Panchayati Ra...
An Empirical Analysis of the Empowerment of Rural Women Through Panchayati Ra...
 
237 245
237 245237 245
237 245
 
F393648
F393648F393648
F393648
 
C01051224
C01051224C01051224
C01051224
 
Urdhva Mula: An Interdisciplinary Peer Reviewed Women's Studies Journal, Dece...
Urdhva Mula: An Interdisciplinary Peer Reviewed Women's Studies Journal, Dece...Urdhva Mula: An Interdisciplinary Peer Reviewed Women's Studies Journal, Dece...
Urdhva Mula: An Interdisciplinary Peer Reviewed Women's Studies Journal, Dece...
 
Prof. Vibhuti Patel on Women's Studies in Praxis- Dr.Neera Desai's Contributi...
Prof. Vibhuti Patel on Women's Studies in Praxis- Dr.Neera Desai's Contributi...Prof. Vibhuti Patel on Women's Studies in Praxis- Dr.Neera Desai's Contributi...
Prof. Vibhuti Patel on Women's Studies in Praxis- Dr.Neera Desai's Contributi...
 
Socio-Economic Growth through Women Education: A Case Study on the SANTAL at ...
Socio-Economic Growth through Women Education: A Case Study on the SANTAL at ...Socio-Economic Growth through Women Education: A Case Study on the SANTAL at ...
Socio-Economic Growth through Women Education: A Case Study on the SANTAL at ...
 
Research article
Research articleResearch article
Research article
 
19 role of women in service sector -130-139
19 role of women in service sector -130-13919 role of women in service sector -130-139
19 role of women in service sector -130-139
 

Similar to A Geographical Study of Working Women from Kinwat Region

A study on would be urban-migrants’ needs and necessities in rural bangladesh...
A study on would be urban-migrants’ needs and necessities in rural bangladesh...A study on would be urban-migrants’ needs and necessities in rural bangladesh...
A study on would be urban-migrants’ needs and necessities in rural bangladesh...
Alexander Decker
 
A study on would be urban-migrants’ needs and necessities in rural bangladesh...
A study on would be urban-migrants’ needs and necessities in rural bangladesh...A study on would be urban-migrants’ needs and necessities in rural bangladesh...
A study on would be urban-migrants’ needs and necessities in rural bangladesh...
Alexander Decker
 
A study on existing and required facilities or amenities for
A study on existing and required facilities or amenities forA study on existing and required facilities or amenities for
A study on existing and required facilities or amenities for
Alexander Decker
 
A study on existing and required facilities or amenities for
A study on existing and required facilities or amenities forA study on existing and required facilities or amenities for
A study on existing and required facilities or amenities for
Alexander Decker
 
Migration Report of Jharkhand
Migration Report of JharkhandMigration Report of Jharkhand
Migration Report of Jharkhand
SLDIndia
 

Similar to A Geographical Study of Working Women from Kinwat Region (20)

A study on would be urban-migrants’ needs and necessities in rural bangladesh...
A study on would be urban-migrants’ needs and necessities in rural bangladesh...A study on would be urban-migrants’ needs and necessities in rural bangladesh...
A study on would be urban-migrants’ needs and necessities in rural bangladesh...
 
A study on would be urban-migrants’ needs and necessities in rural bangladesh...
A study on would be urban-migrants’ needs and necessities in rural bangladesh...A study on would be urban-migrants’ needs and necessities in rural bangladesh...
A study on would be urban-migrants’ needs and necessities in rural bangladesh...
 
Asur community peoples' attitude towards education
Asur community peoples' attitude towards educationAsur community peoples' attitude towards education
Asur community peoples' attitude towards education
 
I0392040045
I0392040045I0392040045
I0392040045
 
A study on existing and required facilities or amenities for
A study on existing and required facilities or amenities forA study on existing and required facilities or amenities for
A study on existing and required facilities or amenities for
 
A study on existing and required facilities or amenities for
A study on existing and required facilities or amenities forA study on existing and required facilities or amenities for
A study on existing and required facilities or amenities for
 
Migration Report of Jharkhand
Migration Report of JharkhandMigration Report of Jharkhand
Migration Report of Jharkhand
 
A Study On Socio- Economic Status Of Vadar Community
A Study On Socio- Economic Status Of Vadar CommunityA Study On Socio- Economic Status Of Vadar Community
A Study On Socio- Economic Status Of Vadar Community
 
International Journal of Humanities and Social Science Invention (IJHSSI)
International Journal of Humanities and Social Science Invention (IJHSSI)International Journal of Humanities and Social Science Invention (IJHSSI)
International Journal of Humanities and Social Science Invention (IJHSSI)
 
The Perception of Community Social Support Among Young Foreign Born People in...
The Perception of Community Social Support Among Young Foreign Born People in...The Perception of Community Social Support Among Young Foreign Born People in...
The Perception of Community Social Support Among Young Foreign Born People in...
 
D0353019024
D0353019024D0353019024
D0353019024
 
Basic Features and Strategies of Women’s Empowerment of a Developing Urban Ar...
Basic Features and Strategies of Women’s Empowerment of a Developing Urban Ar...Basic Features and Strategies of Women’s Empowerment of a Developing Urban Ar...
Basic Features and Strategies of Women’s Empowerment of a Developing Urban Ar...
 
Health, education and employment in a forward backward dichotomy based on sta...
Health, education and employment in a forward backward dichotomy based on sta...Health, education and employment in a forward backward dichotomy based on sta...
Health, education and employment in a forward backward dichotomy based on sta...
 
3 ijreh mar-2018-3-evaluating the factors impact
3 ijreh mar-2018-3-evaluating the factors impact3 ijreh mar-2018-3-evaluating the factors impact
3 ijreh mar-2018-3-evaluating the factors impact
 
Gender inclusive planning
Gender inclusive planningGender inclusive planning
Gender inclusive planning
 
'Aesthetic Labour’ in the Emerging Labour market: A Case Study on Female Labo...
'Aesthetic Labour’ in the Emerging Labour market: A Case Study on Female Labo...'Aesthetic Labour’ in the Emerging Labour market: A Case Study on Female Labo...
'Aesthetic Labour’ in the Emerging Labour market: A Case Study on Female Labo...
 
122014843595
122014843595122014843595
122014843595
 
C0332020024
C0332020024C0332020024
C0332020024
 
The Influence of Tourism Development on Life Quality in the Indigenous Tribe
The Influence of Tourism Development on Life Quality in the Indigenous TribeThe Influence of Tourism Development on Life Quality in the Indigenous Tribe
The Influence of Tourism Development on Life Quality in the Indigenous Tribe
 
demographic project
 demographic project demographic project
demographic project
 

Recently uploaded

Spellings Wk 4 and Wk 5 for Grade 4 at CAPS
Spellings Wk 4 and Wk 5 for Grade 4 at CAPSSpellings Wk 4 and Wk 5 for Grade 4 at CAPS
Spellings Wk 4 and Wk 5 for Grade 4 at CAPS
AnaAcapella
 

Recently uploaded (20)

REMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptxREMIFENTANIL: An Ultra short acting opioid.pptx
REMIFENTANIL: An Ultra short acting opioid.pptx
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptx
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptxOn_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptx
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptx
 
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 
OSCM Unit 2_Operations Processes & Systems
OSCM Unit 2_Operations Processes & SystemsOSCM Unit 2_Operations Processes & Systems
OSCM Unit 2_Operations Processes & Systems
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
 
21st_Century_Skills_Framework_Final_Presentation_2.pptx
21st_Century_Skills_Framework_Final_Presentation_2.pptx21st_Century_Skills_Framework_Final_Presentation_2.pptx
21st_Century_Skills_Framework_Final_Presentation_2.pptx
 
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POS
 
Towards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptxTowards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptx
 
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
 
Spellings Wk 4 and Wk 5 for Grade 4 at CAPS
Spellings Wk 4 and Wk 5 for Grade 4 at CAPSSpellings Wk 4 and Wk 5 for Grade 4 at CAPS
Spellings Wk 4 and Wk 5 for Grade 4 at CAPS
 
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptxHMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
 
FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024
 
How to Add a Tool Tip to a Field in Odoo 17
How to Add a Tool Tip to a Field in Odoo 17How to Add a Tool Tip to a Field in Odoo 17
How to Add a Tool Tip to a Field in Odoo 17
 
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning PresentationSOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentation
 

A Geographical Study of Working Women from Kinwat Region

  • 1. International Journal of Humanities and Social Science Invention ISSN (Online): 2319 – 7722, ISSN (Print): 2319 – 7714 www.ijhssi.org ||Volume 4 Issue 8 || August. 2015 || PP.25-30 www.ijhssi.org 25 | P a g e A Geographical Study of Working Women from Kinwat Region 1 Avinash Kadam, 2 Vidhyatai Patil 1 Assistant Professor, School of Earth Sciences, SRTM University, Nanded 431606, India 2 Research Scholar, School of Earth Sciences, SRTM University, Nanded 431606, India Abstract: Gender discrimination is a prime cause of all other concerned problems of the society. Discrimination starts with the birth. Now a day, it has observed that many social groups and families created such issues from newly born babies. Many cases of female foeticide have also been observed in last 10 years. In short, status of women in their society, group and family have not separate identity, even though they are actively participated in social, cultural, domestic and economic activities. Considering these views in mind, the present investigation has been designed to assess the influence of different social-cultural, economical and geographical parameters on the women workers. For this, the Kinwat region from Nanded district has been selected as a study area. Systematic and Simple Random Sampling Method have been applied for covering all types of workers from all castes and categories. The present investigation is mainly based on primary data. The study concluded that there is need to educate and promote women for professional jobs, both for family level development and more importantly for women enrichment, so it may help to minimize level of gender discrimination. Keywords : Working women, Caste, Category, Work Participation I. Introduction Many times, our Indian cultural literature remarked that women have prestigious position in the society at early age (Raval, 2013). Even historical and religious evidences have been proved such facts with so many examples (Gupta, 2014). But after industrialization and colonization, economic tools have overcome the socio- cultural and even religious positions. In this process, family setup has been firstly disturbed with wide range and different angles. In the beginning, migration was one of the main causes behind it. It results, the growth of wider gap between the genders (Kaur, 2004). Now a day, social, economical, cultural and likewise aspects are mainly responsible for the same (Field et al., 2010). Things like social prestige, level of economical tolerance mainly power of consumerism and expenses, social-cultural standard etc are also affecting on the gender disparities (Bano, 2012; Adhikary and Dutta, 2014). Such type of changes has also been observed from global to local and village to family levels. In the name of development, majority of the women have deprived from the sources of economy by prestigious issues, cultural myths etc. Actually, they have that much ability to improve themselves with their family (Sinha and Coppoletta, 2011). Furthermore, females have position after men or actually they have not separate identity in case of economical, social, cultural and over all matters of the society. It is because of adverse flow of thinking; of course, there are numbers of factors responsible for such situations. According to Vani et al. (2009) and Chakraborty (2013), birth and death rate of female and gender discrimination varies with religion and caste. At the same time, social, economical and other residential (Gosal, 1993) surrounding factors have also been acting adversely in the process of women development. There are different angles which are directly or indirectly crossing the issue. That’s why, spatio-temporal studies related to gender have importance and scope for frequent and periodical analysis of the same. Many scholars have also been studied on gender (Ghani et al., 2013), literacy (Rukhsana and Alam, 2014), level of education (Suguna, 2011 and Sonowal, 2013), castes (Rao, 2013; Eswaran et al., 2011 and Siddique, 2008), religion (MWCD, 2007), region (Srivastava and Srivastava, 2010 and Dollar and Gatti, 1999) etc for correlating women development with other geographical aspects. Considering these studies and their views in mind, the present investigation has been designed to assess the influence of different geographical parameters on status and number of women workers. It may helps to find out root leveled cause-effect relations in case of female disparities in the rural areas of India, with reference to their caste, category, socio-economical condition etc. For this, Kinwat region, situated in tribal zone of rural Maharashtra, have been selected as the micro leveled study area for the present analysis. II. Study area The selected study area i.e. Kinwat region is a part of Kinwat tahsil (Nanded District). The geographical location of Kinwat tahsil is between 19 13’ 51” north to 19 55’ 48” north latitude and 77 57’ 23” east to 78 22’ 24” east longitude. It is one of the important tribal-forest zones of the state, which has thick teak forest with bamboo and various types of medicinal plants. Kinwat town is a headquarter of the tahsil. In 2011, the tahsil has one town and 191 villages. According to 2011 census, the tahsil has 2,47,786 total
  • 2. A Geographical Study of Working… www.ijhssi.org 26 | P a g e population, where as Kinwat town has just 28,454 population. Still today, the town and all villages from the tahsil have rural in nature. Figure 1: Location Map of Kinwat Region (Study Area) (Source: Base Map taken from District Census Handbook, Nanded District, Census of India, 1991) The Kinwat town and surrounding 48 villages have been selected as study area for the present investigation (Figure 1). These villages are depending upon Kinwat town for different amenities i.e. educational, medical, transport, domestic services etc. For this, there is daily migration, from such villages to the town. It is therefore these villages along with the town were selected for this investigation as study area for fulfillment of the following objectives. III. Objectives 1. To study the general geographical, social and economical aspects of the study area. 2. To observe caste-wise and category-wise working women with reference to their nature and type of work. 3. To find out cause-effect relationship between selected aspects, for assessing their overall influence on women workers. IV. Hypothesis The socio-economical aspects of the region have influence on nature and type of work at rural areas especially in case of women workers. V. Data Base and Methodology The present investigation is mainly based on primary data sources. The primary survey has been conducted in the selected Kinwat town and all 48 villages from the study area. In case of Kinwat town, Systematic Random Sampling Method has been applied for covering all types of worker from all castes and categories. It also helped to cover all wards, tradition based colonies, old core zones, newly established colonies in the hierarchy of the town, etc. On the other hand, Simple Random Sampling Method has been used for conducting survey of surrounding villages. About 63 per cent of women workers from the study area have been covered through ODM (Onetime Dialogue Method) for collection of information regarding type of work, caste, education, income, working duration, travelling distance etc. Rest of about 37 per cent samples has been covered by CDM (Continuous Dialogue Method). It helped to understand the issues, problems and prospects of women worker at individual and micro level by taking number of rechecking exercise.
  • 3. A Geographical Study of Working… www.ijhssi.org 27 | P a g e By both ODM and CDM methods, all types of working classes viz. Professional work (Doctors, Advocate), Government Job (I to III), Skilled and Higher Educational based services (All Teachers), Skilled and Innovative Self Oriented work (SISOW) like Shops, Beauty parlors, Tailors, etc. Governmental Job (IV), Tradition based services (Lohar, Burud, Pot makers, etc), Helper and Unskilled work (Dhobi, Maid, etc) etc has been covered. Here, domestic work and work at own farm has not considered as a worker, so it has not been taken as a sample in the case study. From these surveys, 1326 working women as a sample were investigated. All the samples classified with their categories e.g. Open, Other Backward Class (OBC), Nomadic Tribes (NT), Scheduled castes (SC) and Scheduled Tribes (ST). The data have been analyzed and presented with the help of different types of computer tools and techniques. VI. Result and Discussion Collected data and information from primary and secondary sources have been analyzed by proper methodology. The results and their cause-effect relationships have been discussed with following sub points. Women Population Firstly, the study tried to enlist varies caste with their categories and proportion of population in the village. The exercise aims to understand and compare the proportion of workers and actual population with respect to their castes and categories. Table 1: Category-wise Proportion of Women Sr. No. Category Women Population in per cent As per 2011 Census As per Field work* 1 Open 60.64 23.50 2 OBC 4.32 3 NT 33.76 4 SC 9.96 11.04 5 ST 29.40 27.38 Total 100.00 100.00 (Source: * Field Work, April-May, 2014 and Jan-Feb, 2015) Table 1 showing category-wise proportion of women to total women population as per the census 2011 and primary survey conducted in the study region by researcher. In the primary visits, data from various castes have been collected and summarized with their categories, as mentioned in the table. As per the data, ST women population have second largest group in the society. STs and SCs have about 40 per cent proportion. Work Participation Category wise working women with reference to their type of work has analyzed and tabulated in table 2. The proportion of SC women worker is higher having with about 34 per cent to total workforce, which is highest in all other categories. Open category stood as the second largest category (21.80 per cent). Least number of women worker observed from OBC category. Table 2: Work Type wise participation Sr. No. Work Type/ Class Data (In per cent) Open OBC NT SC ST Total 1 Professional work 60.00 0.00 0.00 20.00 20.00 100.00 2 Government Job ( I to III) 16.70 25.00 16.70 33.30 8.30 100.00 3 SHE based services 40.00 4.30 14.30 28.60 12.80 100.00 4 SISOW 24.20 12.10 15.20 36.40 12.10 100.00 5 Government Job (IV) 9.00 7.50 16.40 43.20 23.90 100.00 6 TBS 0.00 16.70 30.00 53.30 0.00 100.00 7 Helper 19.20 26.90 15.40 23.10 15.40 100.00 8 Unskilled work 17.80 16.40 13.70 31.50 20.60 100.00 Total 21.80 12.00 15.60 34.70 16.00 100.00 (Source: Field Work, April-May, 2014 and Jan-Feb, 2015)
  • 4. A Geographical Study of Working… www.ijhssi.org 28 | P a g e Even though, the general rank showing progressive status and share of SC and especially ST women, the nature of work explaining micro differences and dilemma in the general picture. It is only because of such economically backward categories are engaged more with numbers in unskilled, helpers, fourth class governmental work and TBS (Tradition Based Services). This means that they are still not getting proper and sufficient education and training. Many of them are illiterate also. In case of ST, NT and OBC women, more or less they have same problems for getting jobs and working as a stable status with sustainable manner. About 20 per cent women are engaged in Skill and Higher Educational (SHE), Government Job (IV) and Unskilled work each. Here also OBC, NT and ST having very less proportion (Table 3). This simply means that some women have problems with education, professional training, traditional skills, etc. It has also observed in in-depth field discussions that women are not working outside their house, only because of prestige issues, security, etc. even many have urgent economic need. Table 3: Category with different types of work Sr. No. Work Type/ Class Data (In per cent) Open OBC NT SC ST All 1 Professional work 12.70 0.00 0.00 2.70 5.80 4.60 2 Government Job ( I to III) 2.80 7.70 3.90 3.50 1.90 3.70 3 SHE based services 39.40 7.70 19.60 17.70 17.30 21.50 4 SISOW 11.30 10.30 9.80 10.60 7.70 10.10 5 Government Job (IV) 8.50 12.80 21.60 25.70 30.80 20.50 6 TBS 0.00 12.80 17.60 14.20 0.00 9.20 7 Helper 7.00 17.90 7.80 5.30 7.70 8.00 8 Unskilled work 18.30 30.80 19.70 20.30 28.80 22.40 Total 100.00 100.00 100.00 100.00 100.00 100.00 (Source: Field Work, April-May, 2014 and Jan-Feb, 2015) As per table 2, professional activities are running through Open, SC and ST women with about 60, 20 and 20 per cent participation respectively. But within the category, only about 12, 3 and 4 per cent working women respectively are engaged in the same from particular category. Actually, women from OBC, NT and such categories should engage with higher proportion in tradition based services. But it has not observed more than 18 per cent. It means that, TBS having operational and qualitative problems or is not providing enough gain or people are not taking interest in the same. Educational Status Education is a prime factor for overall development. It is therefore need to understand the educational status of investigated working women. The analyzed data have been tabulated in table 4. It shows about 52 per cent women from all categories are not completed their education above secondary level, including 18 per cent illiteracy. On the other hand, only about 27 per cent have benefited by certificate course and higher education. This also means that only 7 per cent women have some professional training and skills. The average picture of educational status has matching with ST women workers. Comparing all other categories, Open category women have satisfactory situation in the same. In case of OBC and NT, more or less 65 per cent women are illiterate and educated not above 10th standard. Table 4: Category-wise Educational level of women Sr. No. Level of Education Data (In per cent) OPEN OBC NT SC ST All 1 Illiterate 5.63 20.51 21.57 20.35 35.14 18.20 2 1st to 10th class 24.35 46.15 37.25 32.75 13.51 34.00 3 HSC 12.68 5.13 11.76 13.27 10.81 11.00 4 UG 4.23 17.95 7.84 12.39 5.41 9.20 5 Degree leveled Professional Courses 37.62 10.26 15.69 15.93 24.32 19.90 6 Higher Education 15.49 0.00 5.89 5.31 10.81 7.70 Total 100.00 100.00 100.00 100.00 100.00 100.00 (Source: Field Work, April-May, 2014 and Jan-Feb, 2015)
  • 5. A Geographical Study of Working… www.ijhssi.org 29 | P a g e Work experience Educational qualification and or any skill are the prime requisites of outdoor work. In addition to these, family acceptance, status and economic need, self confidence, decision making power and skills are also ruling as a principal cause behind proportion of workforce especially women participation (Siddiqui, 2012). It differs from caste to caste and category to category. Sometimes, prestige issues also affecting on the same. Taking these facts in mind, the present investigation has also tried to correlate these things with various castes and categories. After 2011, proportion of SC and NT (22 and 25 per cent respectively) women is on higher side. The growth of workforce is showing decreasing trend in case of Open and OBC. Increasing trend observed in rest of the categories. The highly jumping increasing trend observed in SC women (11 to 43 per cent in 1989 to 2010). Distance Distance from home to workplace is also one of the prime parameter for assessing the problems of women workers. It has importance regarding security (Biswas and Soni, 2015) and it also provides information about level of social freedom and domestic responsibility, which have been directly or indirectly influencing the status of women. So, economically backward groups may suffer some opportunities only because of the distance. In the present study, category wise women workers have been divided on the basis of distance from home to work place i.e. less than one km, one to five km and more than five km. it has observed that just less than 10 per cent women worker are traveling above 4 km distance. VII. Conclusion The lower status of female in social structure is one of the important factors which create so many questions about women development. Female foeticide, infanticide, gender disparity, dowry, domestic violence and so many problems create the question about her existent. It is difficult to assess criminal discrimination on the basis of caste and category, because it is the matter of thinking. Through such research analysis, it may just analyze of the issues with caste, category, region, economic base of the family, level of education, for understanding base of the society etc. Now a day, it is prime need to work professionally at outside the home, irrespective of gender. Such changed phenomenon has also been observed in the study area which has forest and tribal based. But unfortunately, issues related to prestige and likewise have been observed particularly in case of Open category women workers. This picture has also been seen OBC and NT category. It is therefore need to educate and promote women for professional jobs both for family level development and more importantly for women enrichment. Those may help to minimize level of gender discrimination. References [1] Adhikary M. and Dutta P. (2014). Empowerment and Domestic Violence: An Empirical Investigation on Rural Women in Bankura Distinct. International Journal of Social Sciences, Vol.3. No. 4, December, 2014, pp. 427-442. [2] Bano S. (2012). Gander Disparity in Varanasi City. The Deccan Geographer, Vol. 50, No. 1, June, 2012, pp. 39-53. [3] Biswas A. and Soni C. (2015).Empowerment of Women in India: A reality or a Myth, Journal for Studies in Management and Planning. Vol.1, Issue .4, May 2015, pp. 260-273. [4] Chakraborty A. (2013). A Review of Gender Disparity in Education Sector in India. International Journal of Social Science, June 2013. pp. 43-52. [5] District Census Handbook, Nanded District, Census of India 1991 and 2011. [6] Dollar D. and Gatti R. (1999). Gender Inequality, Income, and Growth: Are Good Times Good for Women?, Policy Research Report on Gender and Development, working paper series, No. 1, May 1999, pp.1-40. [7] Eswaran M, Ramaswami B and Wadhwa W. (2011). Status, Caste and the Time Allocation of Women in Rural India. A Report published by Indian Statistical Institute, Planning Unit, New Delhi, September 2011, pp.1– 28. [8] Field E, Javachandran S and Pande R. (2010). Do Traditional Institutions Constrain Female Entrepreneurship? A Field Experiment on Business Training in India. Traditional Institutions and Female Entrepreneurship, Vol.100, No. 2, May 2010, pp.1-5. [9] Ghani E, Kerr W and Connell S.D. (2013). Promoting Women’s Economic Participation in India, A report by Poverty Reduction and Economic Management (PREM) Network, February, 2013. Pp. 1-6. [10] Gosal R.P. (1993). Scheduled Caste Population and Urbanization in India- A Spatial Analysis, Geographical Review of India, Vol. 55, No. 3, September, 1993. Pp. 25-38. [11] Gupta R. (2014). Socio-Economic Condition of Working Woman In India - With Special Reference To Muzaffarnagar District, U.P. Researchjournali’s Journal of Economics, Vol. 2, No. 4, April 2014, pp. 1-10. [12] Kaur R. (2004). Across-region marriages: Poverty, female migration and the sex ratio. Economic and Political weekly, June 19, 2004, pp. 2595-2603. [13] MWCD, 2007. (Ministry of Women and Child Development), Department of Women and Child Development, (2007).An Analytic Study of Education of Muslim Women and Girls in India. October 2007, pp. 23. [14] Rao P. (2013). Socioeconomic Status of Scheduled Tribes. MERC Globe’s International Journal of Management, Vol.1. Issue. 1. July, 2013. Pp. 36-50. [15] Raval J.A. (2013). Women Education in Ancient India. International Multidisciplinary Journals of Applied Sciences, Vol.1, June 2013. Pp. 87-88.
  • 6. A Geographical Study of Working… www.ijhssi.org 30 | P a g e [16] Rukhsana and Alam A. (2014). Literacy Differentials among Scheduled Caste and Non-Schedule Castes in West Bengal, India: A District Wise Study. International Journal of Innovative Research in Science, Engineering and Technology, Vol. 3, March, 2014. Pp. 10705-10712. [17] Siddique Z. (2008). Cast Based Discrimination: Evidence and Policy. IZA Discussion Paper No. 3737, September, 2009, pp. 1- 44. [18] Siddiqui A. B. (2012). Problems Encountered by Women Entrepreneurs in India. International Journal of Applied Research and Studies, Vol. 1. Issue, 2, Sept-Nov, 2012, pp. 1-11. [19] Sinha D. and Coppoletta R. (2011). The Invisible Half – Women’s Status in Palanpur. Asia Research Center Working Paper 50, 2011. Pp. 1-16 [20] Sonowal M. (2013). Impact of Education in Women Empowerment: A Case Study of SC and ST women of Sonitpur District, Assam. IJCAES Special Issue on Basic, Applied & Social Sciences, Vol. 3, January 2013, pp. 27-33. [21] Srivastava N. and Srivastava R. (2010). Women, Work, and Employment Outcomes in Rural India. Economic & Political Weekly, vol. xlv, No. 28, July 10, 2010. PP. 49-63. [22] Suguna M. (2011). Education and Women Empowerment in India. International Journal of Multidisciplinary Research, Vol.1 Issue 8, December 2011, pp.198-204. [23] Vani B, Toan Do Q, Iyer S. and Joshi S. (2009). Missing Women and India’s Religious Demography. Policy Research Working Paper 5096, October, 2009. pp. 1-29.