Amartya Sen set off a debate in development economics when he estimated that there are 100 million ‘missing women’ in the world, referring to the magnitude of female survival disadvantage due to unequal treatment in the intra-household allocation of



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III. Interpreting Data


The present study is primarily based on secondary data collected from decennial Census Reports, Government of India, covering sex ratio, literacy rate and work participation rate in the rural and urban areas of major States of India. The point to be noted here is that the Census estimates of work force participation rate are lower than those estimated by the National Sample Survey (NSS) estimates. Census estimates are as much as 3 per cent lower than NSS estimates in the case of male workers, and as much as 10 to 16 per cent lower for female workers (Report on Human Development in South Asia, 2000). It is also to be noted that the work participation rate figures for the year 1971 of Assam includes Union Territory of Mizoram which was carved out of Assam after the 1971 census; therefore the longitudinal census figures for Assam may not be strictly comparable. As Census was not held in Assam during 1981, the data for that period is not available and hence had to be excluded from some data interpretations. The literacy rates for 1971 are not strictly comparable with 1981 census, as these rates have been worked out on the then jurisdiction, which was in existence. Socio-cultural variables such as dowry deaths, female infanticide, sex determination tests also tend to affect the sex ratio but our study is limited to few variables only due to paucity of these data across States over last four decades.

Given equal access to intrahousehold resources including health and nutrition, females have an evident biological advantage of survival over males. Despite this biological advantage, the sex ratio is generally adverse to women in India. It is primarily the consequence of high levels of female mortality, which begins at birth, after birth or even before birth.




The decennial censuses conducted in India suggest that there has been an almost monotonic decline in the sex ratio in India. In 1901, the sex ratio was 972 females for every 1000 males; by 1991 it had reached the lowest point at 927. In Census 2001, the sex ratio increased by six points to 933.


Statewise decomposition of the sex ratio over the period between 1901 and 2001 reveals mixed trends of social, cultural, economic and political influence on the relative magnitude of excess female mortality across the country.

Table 2: Trends in Sex ratio in India: A Statewise Decomposition




1901

1911

1921

1931

1941

1951

1961

1971

1981

1991

2001

INDIA

972

964

955

950

945

946

941

930

934

927

933

J & Kashmir

882

876

870

865

869

873

878

878

892

896

900

Him. Pradesh

884

889

890

897

890

912

938

958

973

976

970

Punjab

832

780

799

815

836

844

854

865

879

882

874

Chandigarh

771

720

743

751

763

781

652

749

769

790

773

Uttaranchal

918

907

916

913

907

940

947

940

936

936

964

Haryana

867

835

844

844

869

871

868

867

870

865

861

Delhi

862

793

733

722

715

768

785

801

808

827

821

Rajasthan

905

908

896

907

906

921

908

911

919

910

922

Uttar Pradesh

938

916

908

903

907

998

907

876

882

876

898

Bihar

1,061

1,051

1,020

995

1,002

1,000

1,005

957

948

907

921

Sikkim

916

951

970

967

920

907

904

863

835

878

875

Arun.Pradesh

NA

NA

NA

NA

NA

NA

894

861

862

859

901

Nagaland

973

993

992

997

1,021

999

933

871

863

886

909

Manipur

1,037

1,029

1,041

1,065

1,055

1,036

1,015

980

971

958

978

Mizoram

1,113

1,120

1,109

1,102

1,069

1,041

1,009

946

919

921

938

Tripura

874

885

885

885

886

904

932

943

946

945

950

Meghalaya

1,036

1,013

1,000

971

966

949

937

942

954

955

975

Assam

919

915

896

874

875

868

869

896

910

923

932

West Bengal

945

925

905

890

852

865

878

891

911

917

934

Jharkhand

1,032

1,021

1,002

989

978

961

960

945

940

922

941

Orissa

1,037

1,056

1,086

1,067

1,053

1,022

1,001

988

981

971

972

Chhatisgarh

1,046

1,039

1,041

1,043

1,032

1,024

1,008

998

996

985

990

Mad.Pradesh

972

967

949

947

946

945

932

920

921

912

920

Gujarat

954

946

944

945

941

952

940

934

942

934

921

Daman& Diu

995

1,040

1,143

1,088

1,080

1,125

1,169

1,099

1,062

969

709

Dadra & Nagar Haveli

960

967

940

911

925

946

963

1,007

974

952

811

Maharashtra

978

966

950

947

949

941

936

930

937

934

922

And.Pradesh

985

992

993

987

980

986

981

977

975

972

978

Karnataka

983

981

969

965

960

966

959

957

963

960

964

Goa

1,091

1,108

1,120

1,088

1,084

1,128

1,066

981

975

967

960

Lakshadweep

1,063

987

1,027

994

1,018

1,043

1,020

978

975

943

947

Kerala

1,004

1,008

1,011

1,022

1,027

1,028

1,022

1,016

1,032

1,036

1,058

Tamil Nadu

1,044

1,042

1,029

1,027

1,012

1,007

992

978

977

974

986

Pondicherry

NA

1,058

1,053

NA

NA

1,030

1,013

989

985

979

1,001

A&NicobarIs

318

352

303

495

574

625

617

644

760

818

846

Source: Census, Govt of India (various years)

In 2001, only Kerala and Pondicherry have sex ratios of 1058 and 1001, respectively. The other States and Union Territories (UT), where the sex ratio is above 950, are Andhra Pradesh (978) Chattisgarh (990), Goa (960), Himachal Pradesh (970), Karnataka (964), Manipur (978), Meghalaya (975), Orissa (972), Tamil Nadu (986) and Uttaranchal (964). The North Indian belt of Delhi (821), Haryana (861), Punjab (874), Uttar Pradesh (898), along with Andaman and Nicobar Islands (846), Dadra and Nagar Haveli (811), and Sikkim (875), account for a large part of the alarmingly low sex ratio in India (Table 2).


Although the overall sex ratio improved in Census 2001 compared to that of 1991, the child sex ratio (sex ratio in age group 0-6 years) declined to 927 in 2001 relative to 945 in 1991 (Chart 2).

T
able 3 gives the juvenile sex ratio across rural and urban India for 1991 and 2001. It was found that rural child sex ratio has always exceeded the urban one. However both have been declining over time, the rate of decline in urban area is much more than that of rural area, except for Tamil Nadu in 2001. It is to be noted that the adverse juvenile sex ratio is quite pronounced in the following districts of the country according to Census, 1991: Salem (849) in Tamil Nadu; Bhind (850) and Jaisalmer (851) in Rajasthan; Amritsar (861), Faridkot (863) and Bhatinda (865) in Punjab; Kathel (854), Jind (858), Kurukshetra (867) and Hissar (867) in Haryana. However, the unit of present study is States and not districts.



Table 3: Sex Ratio and Child Sex Ratio in Rural and Urban Areas




1991

2001




Sex Ratio




Child Sex Ratio

Sex Ratio




Child Sex Ratio

States

Rural

Urban

Rural

Urban

Rural

Urban

Rural

Urban

Andhra Pradesh

977

959

979

962

983

965

963

955

Assam

934

838

977

955

944

872

967

943

Bihar

913

857

953

950

926

868

944

924

Gujarat

949

907

937

909

945

880

906

837

Haryana

864

868

877

884

866

847

823

808

Karnataka

973

930

963

951

977

942

949

940

Kerala

1037

1034

958

958

1059

1058

961

958

Maharashtra

972

875

953

934

960

873

916

908

Madhya Pradesh

921

887

944

931

927

898

939

907

Orissa

988

866

969

949

987

895

955

933

Punjab

888

868

878

866

890

849

799

796

Rajasthan

919

879

919

909

930

890

914

887

Uttar Pradesh

879

864

927

928

904

876

921

890

Tamil Nadu

981

960

945

954

992

982

933

955

West Bengal

940

858

969

955

950

893

963

948

Source: Census, Govt of India (various years)
Following map shows how the condition of juvenile sex ratio has worsened in the last decade in urban and rural parts of the country.
Chart 3: Regional Differentials in Child Sex Ratio
1991-rural 2001-rural

1991-urban 2001-urban






What determines these spatial variations in juvenile sex ratio? In explaining the trends and variations in the gender differential in child mortality or child sex ratio, much discussion has focused on the economic value of women measured by their labor force participation. The data analysis (chart 4) reveals that while almost all the States showed an improvement in Labour Force Participation Rate (LFPR) in the last 4 decades, Kerala and Maharashtra exhibited a downward pattern in the last two decades. Haryana’s LFPR in 2001 surprisingly shot up to 27.22 per cent per cent from 10.76 per cent in 1991. Punjab indicated an irregular pattern in LFPR. It was 1.18 per cent in 1971, rose to 6.16 per cent in 1981, came down to 4.4 per cent in 1991 and then gone up to 19.05 per cent in 2001.


C
hart 4: Female Labour Force Participation Rate

However, it is to be noted that women’s contribution to the economy remains significantly invisible in national accounts. Although a certain degree of statistical invisibility of women in the economy is a global phenomenon, it is particularly predominant in India and other South Asian nations due to the orthodox socio-cultural milieu. The official labour force statistics do not incorporate the significant component of unpaid labour by women. However, the attempt of United Nations Statistical Division in extending the production boundary of Systems of National Accounts (SNA), 1993 has led to the inclusion of the activities of unpaid work of women into national accounting system as satellite accounts. This extended production boundary of SNA 1993 provides a better understanding of women’s contribution to the economy. The labour force participation rate may not be able to reveal these meticulous aspects of statistical invisibility of women’s work. It is also to be noted that Sen’s hypothesis that only “gainful work outside” improves the relative survival chances of girls and not often the inside work may not be able to test due to the data constraints on the women’s work within and outside, which has further complications in terms of paid and unpaid components.


Table 4: Labour Force Participation Rate




1991

2001




Rural

Urban

Rural

Urban

States

Male

Female

Total

Male

Female

Total

Male

Female

Total

Male

Female

Total

Andhra Pradesh

57.9

42.5

50.3

48.9

11.9

30.8

58.3

43.3

50.9

50.8

13.2

32.3

Assam

49.3

23.3

36.7

50.5

7.5

30.9

49.4

22.1

36.2

52.9

10.6

33.2

Bihar

48.4

12.6

31.3

41.3

4.9

24.5

48

20.2

34.7

41.7

7

25.6

Gujarat

54.9

35.6

45.5

51.1

7.2

30.2

55.5

38.5

47.2

53.9

9.4

33.1

Haryana

48.5

12.6

31.9

48.5

5.1

28.3

50.7

33.9

42.9

49.2

10.6

31.5

Karnataka

56

36.6

46.4

49.8

12.9

32

58.1

39.9

49.1

53.8

16.4

35.7

Kerala

47.9

16.9

32.1

46.8

13

29.6

50.1

16

32.5

50.6

13.6

31.6

Maharashtra

53.2

46

49.7

50.6

11.4

32.3

53.9

43.6

48.9

52.4

12.6

33.8

Madhya Pradesh

53.3

36.1

45.1

46.6

9.7

29.3

53

40.7

47.1

47.4

12

30.6

Orissa

54.7

22.6

38.7

48.4

8.1

29.7

53.2

27.1

40.2

49.1

10

30.6

Punjab

55

4.4

31.2

52.3

4.5

30.1

53.9

23.4

39.5

53.1

10.4

33.5

Rajasthan

50.1

33.3

42

46.6

7.2

28.2

50.7

40.6

45.9

47.4

9.5

29.6

Uttar Pradesh

50.6

12.9

33

46.2

4.7

26.9

47.4

19

33.9

44.6

6.8

26.9

Tamil Nadu

58.3

38.5

48.5

52.8

13.1

33.3

59.1

41.4

50.3

55.8

18.9

37.5

West Bengal

52.1

13.1

33.2

49.6

6.2

29.6

54.1

20.9

37.9

53.7

11.6

33.9

Source: Census, Govt of India (various years)

An equivalent analysis on literacy, particularly female literacy indicated a fairly good improvement over the decades in all the States (chart 5). Kerala ranked top (87.7 per cent) among all States in female literacy followed by Maharashtra (67 per cent), Tamil Nadu (64.4 per cent) and Punjab (63.4 per cent). West Bengal, Gujarat, Haryana and Karnataka also showed tremendous improvement from 1971 to 2001. In general, though literacy among females has increased over time, the level of female literacy has been lower than that of males even in urban areas (Table 5). The low level of female educational attainment results in women’s low earning potential, low nutritional status, high level of mortality and low financial and functional autonomy within households, which in turn has positive impact on sex ratio.



Chart 5: Female Literacy across 15 States





Table 5: Region wise Literacy Rates-1991 and 2001




1991

2001




Rural

Urban

Rural

Urban

States

Male

Female

Total

Male

Female

Total

Male

Female

Total

Male

Female

Total

Andhra Pradesh

47.3

23.9

35.7

75.9

56.4

66.4

65.4

43.5

54.5

83.2

68.7

76.1

Assam

58.7

39.2

49.3

84.4

73.3

79.4

68.2

50.7

59.7

89.7

80.2

85.3

Bihar

48.3

18.0

33.8

77.7

55.9

67.9

57.1

29.6

43.9

79.9

62.6

71.9

Gujarat

66.8

38.7

53.1

84.6

67.7

76.5

74.1

47.8

61.3

88.3

74.5

81.8

Haryana

64.8

32.5

49.9

82.0

64.1

73.7

75.4

49.3

63.2

85.8

71.3

79.2

Karnataka

60.3

34.8

47.7

82.0

65.7

74.2

70.4

48

59.3

86.7

74.1

80.6

Kerala

92.9

85.1

88.9

95.6

89.1

92.3

93.6

86.7

90

95.9

90.6

93.2

Maharashtra

69.7

41.0

55.5

86.4

70.9

79.2

81.9

58.4

70.4

91

79.1

85.5

Madhya Pradesh

51.0

19.7

35.9

81.3

58.9

70.8

71.7

42.8

57.8

87.4

70.5

79.4

Orissa

60.0

30.8

45.5

81.2

61.2

72.0

72.9

46.7

59.8

87.9

72.9

80.8

Punjab

60.7

43.9

52.8

77.3

66.1

72.1

71

57.7

64.7

83

74.5

79.1

Rajasthan

47.6

11.6

30.4

78.5

50.2

65.3

72.2

37.3

55.3

86.5

64.7

76.2

Uttar Pradesh

52.1

19.0

36.7

70.0

50.4

61.0

66.6

36.9

52.5

76.8

61.7

69.8

Tamil Nadu

67.2

41.8

54.6

86.1

69.6

78.0

77.1

55.3

66.2

89

76

82.5

West Bengal

62.1

38.1

50.5

81.2

68.3

75.3

73.1

53.2

63.4

86.1

75.7

81.2

Source: Census, Govt of India (various years)

Although our study is confined to major regions of India only, it would be very interesting to see the status of the girl child across religions also. Table 6 below presents some important facts relative to different communities.


Table 6: Some Important Indicators across communities




Overall Sex ratio

Child sex ratio

Proportion in India's total population

Overall literacy rate

Female Literacy rate

Female work participation rate

Hindus

931

925

81.4

65.1

53.2

27.5

Muslims

936

950

12.4

59.1

50.1

14.1

Jains

940

870

0.4

94.1

90.6

9.2

Sikhs

893

786

1.9

69.4

63.1

20.2

Christians

1009

964

2.3

80.3

76.2

28.7

Buddhists

953

942

0.8

72.7

61.7

31.7

Others

992

976

0.7

47

33.2

44.2

Source: First Report on Religion data, 2001.
The child sex ratio of Hindus that accounts for maximum proportion of the population is 925 as compared to Muslims which is 950. The Sikh community has the lowest child sex ratio (786) followed by the Jains (870). Overall sex ratio of Muslims (936) is slightly better than Hindus (931) which is less than even the national average of 933 women for every 1000 men. Christians recorded the highest sex ratio (1009) whereas Sikhs again reported the least (893). Female literacy among Sikhs and Jains is encouraging compared to other religions. Despite that, the two communities have the lowest child sex ratios.
The hypothesis related to the link between intrahousehold gender differentials in health seeking behavior requires microlevel data for empirical investigation. As noted by earlier studies, the only variable that reflects these aspects from the secondary level data is the nutrition data revealed from anthropometrics. The nutritional status of children under three years calculated on the basis of anthropometric data by National Family Health Survey (NFHS) (second round) revealed that around half of children under three are underweight, with 45.3 per cent male and 48.9 per cent female children disadvantaged nutritionally (Table 7).


Table 7: Nutritional Status: Gender Disaggregation1

Nutritional Status

Male

Female

Total

a. Undernourished










i. Underweight (weight-for-age)

45.3

48.9

47.0

ii. Stunted (height-for-age)

44.1

47.0

45.5

iii. Wasted (weight-for-age)

15.7

15.2

15.5

b. Severely Undernourished










i. Underweight (weight-for-age)

16.9

19.1

18.0

Ii. Stunted (height-for-age)

21.8

24.4

23.0

Iii. Wasted (weight-for-age)

2.9

2.7

2.8

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