ShodhKosh: Journal of Visual and Performing Arts
ISSN (Online): 2582-7472

THE EFFECTIVENESS OF THE ‘INGAT PESAN IBU’ CAMPAIGN IN CHANGING LATE ADOLESCENT BEHAVIOR IN THE TOURISM AREAS OF BALI, BANDUNG, AND YOGYAKARTA

A COMPARATIVE ANALYSIS OF WORKING SCHEDULE CASTE WOMEN AND OTHER WOMEN OF HARYANA ON THE BASIS OF LITERACY RATE

 

Mona Kumari 1, Dr. Satish Kumar 2

 

1 Research Scholar, Department of Economics, Indira Gandhi University, Meerpur, Rewari Haryana, India

2 Assistant Professor, Department of Economics, Indira Gandhi University, Meerpur, Rewari Haryana, India

 

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ABSTRACT

This paper represents the comparison between Scheduled Caste working Women and other Women of Haryana on the basis of literacy rate. The study is based on secondary data compiled from the Census of Haryana 2011. This paper in descriptive in nature. Data is processed with simple statistical techniques such as percentages and correlation. Correlation is calculated between literacy ratio and working population for SC Women and other Women populations. A comparison is also made to see if the literacy ratio and working population correlation exists for other Women and SC Women of Haryana. It is found in the study that there is a correlation between literacy rate and the working population of Women in Haryana. Fatehabad, Hisar, Sirsa, Jind and Bhiwani are the districts of Haryana where high percentage of Scheduled Caste Women are working whereas in Yamunanagar, Ambala, Nuh, Faridabad, Palwal less percentage of Scheduled Caste Women are working. If we see overall percentage working population of Women it is more in Bhiwani, Hisar, Jind, Mahendergarh, Rewari while it is low in Yamunanagar, Ambala, Faridabad, Nuh, Palwal. Surprisingly, percentage of working population for Scheduled Castes and overall, for women are high in Bhiwani, Jind and Hisar districts and low in Yamunanagar, Ambala, Faridabad, Nuh, Palwal districts of Haryana. In the last section of this paper, it is highlighted that by considering this fact that there is some relationship between literacy rate and percentage of working population, Government may formulate policies in consonance with this factor which is one of the important determinants of employment in our country.

Corresponding Author

Mona Kumari, monakumari27111983@gmail.com  

DOI 10.29121/shodhkosh.v5.i1.2024.1672  

Funding: This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Copyright: © 2024 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License.

With the license CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.

 

Keywords: Scheduled Caste, Literacy Ratio, Working Population, Correlation

 

 

 


1. INTRODUCTION

Literacy is the ability that enables one to read, write, and speak in order to communicate effectively and meaningfully. Literacy is a vital element required for the development of a country. Literacy is a key indicator and a critical determinant for the development of a nation. For example, Finland, which is a Nordic country, is the most literate nation in the world and is counted among the top-developed countries. Lack of Literacy keeps a person back at every stage of life. People with low literacy levels are not able to read, write, speak, or understand books, newspapers, prices mentioned in articles, signatures, any agreements or other documents, the time-table of trains or buses, fill out any form, read instructions anywhere or using the internet, which is very important in the present day. Every country must provide its citizens with equal opportunities to get an education so that the people of that country can become a resource rather than a liability. Data on Literacy and unemployment shows that most developed countries with high literacy levels have large working populations and vice versa, and so is also true in the case of India.

India is a developing country struggling through the impediments of development, viz., low level of literacy, poverty, high level of unemployment, inflation and many more. A low level of literacy never lets India proceed on the path of development by leaps and bounds and results in high unemployment. Literate people not only can understand and analyse things accurately but also contribute to the development of their countries by becoming a part of the working population and adding to the productivity and hence enhancing GDP.

 

2. Objective of the study

The objective of this research paper is to study if there is any correlation between the literacy rate and the working population of Scheduled Caste women in Haryana and compare the same with the overall Women population of Haryana.

 

3. Methodology

Secondary data has been gathered from various sources like statistical abstracts of Haryana, various research papers, the census of India, the internet etc. Comparisons have been made using charts and tables to study the relationship between literacy level and work participation of Scheduled Caste women in different sector; Pearson’s correlation is calculated using the following formula: -

 

In order to test the significance of the correlation coefficient the following null (Ho) and alternative (H1) hypotheses are considered.

 

 

Where r is the population correlation co-efficient between two variables.

The appropriate test statistic to test the above hypothesis is

 

The values of the test statistic are given in Table in result section.

 

 

 

4. Results and Discussion

To compare the literacy level of SC women in Haryana with the overall Women literacy level, the data on literacy level is tabulated and presented through bar diagrams below. The percentage of literate SC Women and overall Women is worked out with abstract figures.

Table 1

Table 1 District Wise Literacy Rate of Women Population in Haryana

Districts

SC Women population

Women literacy (SC)

SC Women literacy (in %)

Over all Women population

Overall Women literacy

Overall Women literacy (in %)

Ambala

1,39,372

54,139

38.84

5,29,647

3,56,737

67.35

Bhiwani

1,59,687

59,890

37.50

7,67,773

4,26,713

55.57

Faridabad

1,04,304

16,073

15.40

8,43,623

5,37,799

63.74

Fatehabad

1,35,246

44,247

32.71

4,46,651

2,30,107

51.51

Gurugram

93,605

23,918

25.55

6,97,742

4,72,450

67.71

Hisar

1,91,447

60,152

31.41

8,12,369

4,44,111

54.66

Jhajjar

79,592

32,311

40.59

4,43,738

2,76,611

62.33

Jind

1,31,411

45,633

34.72

6,21,146

3,30,709

53.24

Kaithal

1,16,027

38,712

33.36

5,03,301

2,60,747

51.80

Karnal

1,59,923

56,238

35.16

7,07,612

4,13,497

58.43

Kurukshetra

1,01,817

40,869

40.13

4,53,679

2,76,065

60.85

Mahendergarh

73,894

33,358

45.14

4,35,423

2,49,815

57.37

Nuh

35,508

11,893

33.49

5,18,101

1,46,462

28.26

Palwal

95,382

28,834

30.23

4,88,211

2,20,100

45.08

Panchkula

47,962

13,343

27.81

2,61,614

1,75,456

67.06

Panipat

96,518

28,994

30.03

5,58,580

3,22,463

57.72

Rewari

87,035

35,941

41.29

4,25,997

2,61,494

61.38

Rohtak

1,01,316

31,198

30.79

4,92,725

3,11,557

63.23

Sirsa

1,84,951

58,001

31.36

6,12,607

3,25,929

53.20

Sonipat

1,25,419

44,594

35.55

6,68,702

4,08,435

61.07

Yamunanagar

1,43,543

61,290

42.69

5,67,487

3,57,664

63.02

Total

24,03,959

8,19,628

34.09

1,18,56,728

68,04,921

57.39

Source Compiled from Directorate of Census Operations, Haryana.2011

 

Note: The main worker is one who has worked for 183 days or more in a year in one or more than one economic activity. A person who has worked for less than 183 days in a year is considered a marginal worker.

Chart 1

 

 

The total population, Literacy level and literacy level in percentage are shown in Table 1 for Scheduled Caste Women and overall Women for all districts of Haryana. It is clear from the table that more percentage of Scheduled Caste Women are literate in Mahendergarh, Yamunanagar Rewari, Jhajjar, and Kurukshetra districts of Haryana. In contrast, less percentage of Scheduled Caste Women are literate in Faridabad, Gurugram, Panchkula, Panipat and Palwal districts. The overall percentage of literacy of Women is higher in Gurugram, Ambala, Panchkula, Faridabad, and Rohtak, while it is low in Nuh, Palwal, Kaithal, Jind, and Hisar. It can be analysed from here that for those districts where as percentage of literacy level is low for Scheduled Caste Women, the overall percentage of literacy level is high and vice-versa.

A comparison is shown with the help of the above bar chart between the percentage literacy level of Scheduled Caste Women and overall Women in various districts of Haryana. The difference in percent literacy level is clear from the chart; in every district, the percentage of Women Scheduled Caste literacy is far less than the percentage overall Women literacy. In Faridabad district, the difference in percentage literacy level is maximum between Scheduled Caste Women and overall Women, whereas this difference is minimum in Mahendergarh district.

Table 2

Table 2 District Wise Working population of Women in Haryana

Districts

SC Women population

SC Women working population

SC Women working population (in %)

Overall Women population

Overall Women working population

Overall Women working population (in %)

 

-1

-2

-3

-4

-5

-6

Ambala

1,39,372

14,440

10.36

5,29,647

52,019

9.82

Bhiwani

1,59,687

36,279

22.71

7,67,773

1,92,328

25.05

Faridabad

1,04,304

12,607

12.08

8,43,623

1,02,296

12.12

Fatehabad

1,35,246

34,217

25.29

4,46,651

1,05,585

23.63

Gurugram

93,605

12,200

13.03

6,97,742

1,12,260

16.08

Hisar

1,91,447

48,282

25.21

8,12,369

2,03,300

25.02

Jhajjar

79,592

12,185

15.30

4,43,738

76,514

17.24

Jind

1,31,411

31,328

23.83

6,21,146

1,55,145

24.97

Kaithal

1,16,027

23,779

20.49

5,03,301

81,203

16.13

Karnal

1,59,923

30,700

19.19

7,07,612

1,04,416

14.75

Kurukshetra

1,01,817

21,014

20.63

4,53,679

68,224

15.03

Mahendergarh

73,894

13,897

18.80

4,35,423

1,05,649

24.26

Nuh

35,508

4,234

11.92

5,18,101

65,322

12.60

Palwal

95,382

12,232

12.82

4,88,211

68,099

13.94

Panchkula

47,962

8,397

17.50

2,61,614

46,614

17.81

Panipat

96,518

16,922

17.53

5,58,580

83,651

14.97

Rewari

87,035

17,151

19.70

4,25,997

1,02,401

24.03

Rohtak

1,01,316

13,096

12.92

4,92,725

73,321

14.88

Sirsa

1,84,951

45,610

24.66

6,12,607

1,32,541

21.63

Sonipat

1,25,419

25,303

20.17

6,68,702

1,32,094

19.75

Yamunanagar

1,43,543

12,715

8.857

5,67,487

46,890

8.262

Total

24,03,959

4,46,588

18.57

1,18,56,728

21,09,872

17.79

Source Compiled from Directorate of Census Operations, Haryana. 2011

 

Chart 2

Total population, working population and working population in percentage is shown in the table no. 2 for Scheduled Caste Women and overall Women for all districts of Haryana. It is clear from the table that more percentage of Scheduled Caste Women are working in Fatehabad, Hisar, Sirsa, Jind and Bhiwani districts of Haryana whereas less percentage of Scheduled Caste Women are working in Yamunanagar, Ambala, Nuh, Faridabad, Palwal districts. If we see overall percentage working population of Women it is more in Bhiwani, Hisar, Jind, Mahendergarh, Rewari while it is low in Yamunanagar, Ambala, Faridabad, Nuh, Palwal. Surprisingly, percentage of working population for Scheduled Castes and overall for Women are high in Bhiwani, Jind and Hisar districts and low in Yamunanagar, Ambala, Faridabad, Nuh, Palwal districts of Haryana.

A comparison is shown with the help of the above bar chart between the percentage working population of Scheduled Caste Women and the overall working population of Women in various districts of Haryana. The difference in the percentage of the working population is clear from the chart; in every district, the percentage of the Women Scheduled Caste working population is far less than that of the overall Women working population. In Faridabad district, the difference in percentage literacy level is maximum between Scheduled Caste Women and overall Women, whereas this difference is minimum in Mahendergarh district.

 Table 3

Table 3 District Wise Classification of SC Women Working Population

District

 Cultivator

Agricultural Labour

Household industry

Other worker

 Main worker

Marginal Workers 

Total workers 

 Non-Workers

 

(1)

(2)

(3)

(4)

(5) =1+2+3+4

(6)

(7) =5+6

(8)

Ambala

319

2,130

295

6,290

9,034

5,406

14,440

1,24,932

Bhiwani

2,390

6,096

295

5,237

14,018

22,261

36,279

1,23,408

Faridabad

223

694

413

6,669

7,999

4,608

12,607

91,697

Fatehabad

1,649

8,052

274

5,604

15,579

18,638

34,217

1,01,029

Gurgaon

201

985

333

6,048

7,567

4,633

12,200

81,405

Hisar

2,382

12,520

540

7,778

23,220

25,062

48,282

1,43,165

Jhajjar

420

1,622

111

3,252

5,405

6,780

12,185

67,407

Jind

1,028

7,051

238

4,938

13,255

18,073

31,328

1,00,083

Kaithal

367

4,558

373

4,143

9,441

14,338

23,779

92,248

Karnal

804

6,726

434

6,739

14,703

15,997

30,700

1,29,223

Kurukshetra

201

5,573

231

5,707

11,712

9,302

21,014

80,803

Mahendragarh

350

745

76

2,689

3,860

10,037

13,897

59,997

Nuh

159

309

70

1,201

1,739

2,495

4,234

31,274

Palwal

506

1,538

141

2,626

4,811

7,421

12,232

83,150

Panchkula

295

556

200

5,034

6,085

2,312

8,397

39,565

Panipat

319

2,351

456

6,568

9,694

7,228

16,922

79,596

Rewari

349

1,005

310

5,194

6,858

10,293

17,151

69,884

Rohtak

369

1,960

228

5,188

7,745

5,351

13,096

88,220

Sirsa

2,227

12,027

492

6,925

21,671

23,939

45,610

1,39,341

Sonipat

469

4,894

301

6,159

11,823

13,480

25,303

1,00,116

Yamunanagar

259

1,944

357

4,903

7,463

5,252

12,715

1,30,828

Total

15,286

83,336

6,168

1,08,892

2,13,682

2,32,906

4,46,588

19,57,371

Source Compiled from Directorate of Census Operations, Haryana. 2011

 

Note: The main worker is one who has worked for 183 days or more in a year in one or more than one economic activity. A person who has worked for less than 183 days in a year is considered a marginal worker.

The above table shows the distribution of scheduled caste Women working population among various categories. This distribution is presented here to understand the nature of the working population of scheduled caste Women, and the data of non-workers is also presented in the table. From this table, with the help of a bar chart, we can analyse that the maximum Women scheduled caste workers are agricultural workers in Hisar, Sirsa, Fatehabad, Jind and Karnal.   

Chart 3

This chart presents the district-wise classification of the Scheduled Caste Women working population divided into various categories like cultivator, agricultural labour, household workers and other workers. The chart clearly shows that in Hisar and Sirsa, most of the workers are engaged in agricultural work as labour. The share of Agricultural labour and other workers is maximum in all districts of Haryana.

 

Table 4

Table 4 District Wise Classification of Overall Women Working Population in Haryana

District

Cultivator

Agricultural Labour

Household Industry

Other Workers

Total=Main +Marginal

 

-1

-2

-3

-4

-5

Ambala

3,457

7,701

2,810

38,051

52,019

Bhiwani

1,04,093

37,451

5,700

45,084

1,92,328

Faridabad

4,872

7,281

6,736

83,407

1,02,296

Fatehabad

40,192

34,903

2,325

28,165

1,05,585

Gurgaon

14,204

7,984

4,464

85,608

1,12,260

Hisar

95,335

54,330

4,310

49,325

2,03,300

Jhajjar

31,098

13,669

2,638

29,109

76,514

Jind

79,677

38,806

2,743

33,919

1,55,145

Kaithal

23,672

26,789

3,068

27,674

81,203

Karnal

15,785

38,166

4,155

46,310

1,04,416

Kurukshetra

5,442

26,002

2,119

34,661

68,224

Mahendragarh

60,638

16,977

2,509

25,525

1,05,649

Nuh

27,218

19,018

2,182

16,904

65,322

Palwal

21,655

21,794

2,258

22,392

68,099

Panchkula

7,397

2,852

2,806

33,559

46,614

Panipat

14,382

17,952

4,596

46,721

83,651

Rewari

36,492

12,619

4,396

48,894

1,02,401

Rohtak

22,819

9,963

2,973

37,566

73,321

Sirsa

40,826

49,227

4,030

38,458

1,32,541

Sonipat

39,233

34,814

6,482

51,565

1,32,094

Yamunanagar

3,192

8,594

2,447

32,657

46,890

Total

6,91,679

4,86,892

75,747

8,55,554

21,09,872

Source Compiled from Directorate of Census Operations, Haryana. 2011

 

Note: The main worker is one who has worked for 183 days or more in a year in one or more than one economic activity. A person who has worked for less than 183 days in a year is considered a marginal worker.

The above table shows the overall Women working population distribution among various categories. This distribution is presented here to understand the nature of the working population of overall Women. From this table, with the help of a bar chart, we can analyse that in Bhiwani, Fatehabad, Hisar, Jind, and Mahendergarh maximum Women workers are cultivators. 

The chart below presents the district-wise classification of the overall Women working population divided into various categories like cultivator, agricultural labour, household workers and other workers. The chart clearly shows that in Palwal and Sirsa, most Women workers are household workers. The share of cultivators and other workers is maximum in almost all districts of Haryana.

 Chart 4

 

 

Table 5

Table 5 Correlation between Literacy Rate and Women Working Population

Districts

Literacy rate of overall Women

Working population of overall Women

Literacy rate of SC Women

Working population of SC Women

-1

-2

-3

-4

Ambala

3,56,737

52,019

54,139

14,440

Bhiwani

4,26,713

1,92,328

59,890

36,279

Faridabad

5,37,799

1,02,296

16,073

12,607

Fatehabad

2,30,107

1,05,585

44,247

34,217

Gurgaon

4,72,450

1,12,260

23,918

12,200

Hisar

4,44,111

2,03,300

60,152

48,282

Jhajjar

2,76,611

76,514

32,311

12,185

Jind

3,30,709

1,55,145

45,633

31,328

Kaithal

2,60,747

81,203

38,712

23,779

Karnal

4,13,497

1,04,416

56,238

30,700

Kurukshetra

2,76,065

68,224

40,869

21,014

Mahendragarh

2,49,815

1,05,649

33,358

13,897

Nuh

1,46,462

65,322

11,893

4,234

Palwal

2,20,100

68,099

28,834

12,232

Panchkula

1,75,456

46,614

13,343

8,397

Panipat

3,22,463

83,651

28,994

16,922

Rewari

2,61,494

1,02,401

35,941

17,151

Rohtak

3,11,557

73,321

31,198

13,096

Sirsa

3,25,929

1,32,541

58,001

45,610

Sonipat

4,08,435

1,32,094

44,594

25,303

Yamunanagar

3,57,664

46,890

61,290

12,715

Total

68,04,921

21,09,872

8,19,628

4,46,588

Source: Compiled from Directorate of Census Operations, Haryana. 2011

 

Chart 6

 

Chart 7

 

 

Table 6

Table 6 Correlation Matrix for Literacy rate and working population of Women in Haryana

Literacy Rate

Literacy Rate (SC)

Working population

.516

----

Working Population (SC)

----

.738

 

In order to know if there is any correlation between literacy rate and the working population in various districts of Haryana, a coefficient of correlation is obtained for both the sets of data, i.e. for the Scheduled caste Women population and the overall Women population.

The table represents the correlation coefficient value between two variables, i.e. Literacy rate and Working population of SC Women and overall Women in Haryana.

Table 7

Table 7 Test Statistic for Testing the Significance of Correlation Coefficient

Relation between

R

t-ratio

Literacy Rate and Working population

.516

9.371

Literacy Rate and Working Population (SC)

.738

4.108

 

The results of the test shows that there exists significant positive relationship between Literacy Rate and Working population of Scheduled caste Women and there is also a positive correlation between Literacy rate and working population of over all Women in all districts of Haryana.

 

5. Conclusion

From the above analysis, it is clear that there is a strong positive correlation between the literacy rate of SC women and their working population in all districts of Haryana. There is also a positive correlation between the literacy rate and the working population of overall Women in Haryana. It may be concluded from here that as women get literate, they get employment; however, education is not the only factor responsible for getting employment, but it may prove one of the significant factors that may bring some improvement in employment and economic conditions of women especially SC women in Haryana. Further, the government should take more solid steps and dedicated efforts to make SC women literate and educated to get employment and improve their status.

 

CONFLICT OF INTERESTS

None. 

 

ACKNOWLEDGMENTS

None.

 

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