Poverty and Human Development in Rural Bihar

By Anup K Karan*

Measuring poverty is a challenging and complicated task because poverty itself is complex and multidimensional. Although conventional income and consumption based measures are essential for poverty monitoring, they seriously fail to capture critical aspects of well-being. Well-being, however, is more difficult to define as it encompasses a multitude of dimensions, both economic and non-economic. While the estimations of asset holding, income, and consumption is a direct quantitative measure of poverty, the level of human development captured through education and availability of health facilities and basic amenities is supposed to be an indicator of overall well-being. Moreover, many dimensions of deprivation experienced by the poor can be best identified by soliciting their own perception and insights. Hence, before going into various dimensions of well being, we will have a look on the perception by the poor themselves about poverty, and ill being.

Against this background, the purpose of this paper is to analyse present status of rural poverty in Bihar and changes therein during the last two decades. The paper is largely based on a comparison of panel data generated through two primary surveys during 1981-83 for the first time and 1999-2001 for the second time from the same 12 villages, spread over six districts, of the state. On the basis of the data collected at two points of time, it is argued in this paper that although there has been marked improvement in the living status of people a large proportion of lower castes and classes population continues to live in abject poverty and are leading a very poor quality of life.

The paper is organised in three sections. Section I is based on qualitative data collected in the 12 villages through participatory rural appraisals (PRA) and presents perception of villagers regarding poverty and changes in the living conditions over time. Section II presents a crude estimation of poverty on the basis of income and expenditure criteria. The third section (Section III) presents a detailed account of pattern of consumption expenditure and food sufficiency to the households. A changing nature of consumption expenditure asset holding position and food availability has also been presented in this section. Section IV deals with other aspects of human development such as education, heath, access to institutions and civic facilities etc. Section V presents conclusion.

I

Perception of poverty by villagers

Participatory studies of poverty reveal that the poor use different criteria to assess their own situation and its change over time. An analysis of the criteria used by rural people in Bihar shows that they use a wide range of criteria in which, apart from ownership of assets and land, education and health status and physical ability feature prominently when grouping and ranking the state of their own well-being. Further, the poor attach considerable importance to personal freedom and dignity, in spite of the fact that they have become increasingly vulnerable with the decline in patron-client relationship and secure employment.

We received a standard response while conducting the wealth ranking exercise – "most of us live in distressful conditions and are therefore poor". However, further probing and clarification reveal that in all the villages, the villagers feel that identification with the poor will result in some monetary benefit from the state. In most cases, people perceive and relate to poverty along caste lines also. Almost everywhere most of scheduled caste-groups, especially mushar and chamar, are perceived as poor and their position in the continuum delineated by the people themselves is consistently low. Most of them a) live in segregated colonies in mitti-phus (mud-hay) houses; b) are landless; c) both men and women work as agricultural labor; d) have many children; and are likely to have the highest number of out of school children; e) visit the government hospitals when ill; and f) borrow to meet food requirements of the family etc. Generally speaking, people identified the following indicators of their well being or ill being:

Although the list of indicators identified by the poor themselves are more or less similar in different villages, there are some variations in their perceptions in respect of each across the villages. A district-wise comparison reveals that, in Purnea not only are people living in abject poverty, but there is also less difference between the richest and the poorest except in terms of land holdings. Similarly, land seems to be more equally distributed in Gopalganj district. On the other hand, in the districts of Madhubani and Purnea a relatively higher proportion of households is on the brink of starvation during lean seasons, while there seems to be a sense of discontentment amongst the people in the villages of Gaya and Nalanda districts. In these districts, villagers categorically stated that the food situation has drastically improved over the years. In respect of number of school children who are out of school, though, the same indicators appeared in all the villages, a comparison across districts reveals that relatively fewer children are out of school in Rohtas and Gopalganj and that even the poorest and lowest castes in these areas try to educate their children. In Nalanda and Gaya too, most families attempt to educate their children. However, factors outside their control such as caste-tensions, closing down of school, lack of teacher etc. prevent the poorest from availing any benefit. In Purnea and Madhubani districts not only are the highest number of children out of school, people in these districts as well as Gaya district are labelled as the 'poorest', when their children work in the fields. Across districts, the households with a) a more permanent structure (pucca houses), b) food to eat all year around, and c) ability to educate children in private schools and treat their illness in private clinics are considered 'wealthy'. Though, in all the villages households where women do not work are considered as rich, in many it was also quoted as the reason for the decline in the economic condition of the household in particular and community group in general.

The difference between districts also arises in terms of ownership of assets. Only a handful of very rich households own any mechanised agricultural implements (tractor, pumpsets, thresher etc.) in the districts of Purnea and Madhubani. In contrast, a larger proportion of households in Rohtas, Nalanda, Gaya and Gopalganj districts own both mechanised agricultural and household goods. Further, from the PRA reports it is obvious that material poverty is closely linked to the level of household consumption irrespective of the ownership of assets. For instance, in spite of owning fewer assets, the poor in Purnea district perceive an improvement in their lives and attribute this improvement to migration. Across districts, in all the villages, there is a perceptible air of two contradictory feelings: joy and anger, both among the poor and very poor middle and lower caste people. They attributed their joy to the increased freedom to choose both place of work and employer for whom they would work and to decide who to vote for. In fact most of them welcome the increasing monetisation of village economy and casualisation of labour and see it as a sign of reduced caste-based subservience. In contrast, especially in the villages of Nalanda and Gaya districts, amongst the lowest caste (also the poorest) there is a growing sense of frustration and anger, which in many cases (villages Rupaspur-Salempur and Kanadi of Gaya district) is tightly reigned.

Villagers’ responses to changes in the economic conditions of the households and village life as a whole have also been collected through the household questionnaire. Specifically their responses to ‘improvement’, ‘deterioration’, and ‘no change’ in their economic conditions as well as village life in general have been classified for different castes and classes and presented in table1.

Table 1: Households' Response to Change in Economic Condition and Village Life in Last 10 Years

Changes in Economic Condition of Households

Changes in Village Life

No Change

Improvement

Deterioration

No Change

Improvement

Deterioration

Class

Non-Culti. Casual Agri. Lab.

36.14

37.05

26.81

20.94

68.05

11.01

Non-Culti. Attached Agri. Lab.

38.75

29.25

32.00

20.50

71.25

8.25

Culti. Casual Agri. Lab.

27.99

53.49

18.52

14.79

75.05

10.16

Culti. Attached Agri. Lab.

49.22

32.68

18.09

11.09

82.88

6.03

Poor-Middle Peasants

28.39

55.10

16.51

16.33

75.32

8.35

Middle Peasants

19.00

67.68

13.32

10.58

79.53

9.89

Big Peasants

20.84

50.87

28.29

18.22

66.35

15.43

Landlord

18.43

56.24

25.33

13.32

70.75

15.93

Non-Agriculturist

25.32

47.72

26.96

16.96

70.76

12.28

Caste

Brahmin & Kayastha

24.34

42.85

32.82

18.58

67.40

14.01

Bhumihar & Rajput

23.72

44.72

31.55

21.59

63.82

14.59

Backward Caste I

30.12

47.93

21.95

15.28

74.99

9.73

Kurmi

20.22

60.66

19.13

2.73

66.67

30.60

Yadav

25.51

56.73

17.77

16.09

75.73

8.18

Koiri

34.11

55.75

10.14

13.26

81.09

5.65

Other Backward II

24.95

55.98

19.07

13.55

72.71

13.74

Scheduled Caste

39.10

45.92

14.98

20.99

72.08

6.93

Muslim

25.17

43.18

31.65

14.37

74.77

10.86

Land

No Land

34.53

39.90

25.57

19.43

69.77

10.80

0-1.0 Acre

29.07

48.69

22.25

15.75

73.53

10.72

1.0-2.5 Acre

21.90

56.06

22.05

14.19

72.63

13.18

2.5-5.0 Acre

15.87

61.28

22.85

14.17

72.65

13.17

5.0-10.0 Acre

19.43

63.19

17.38

14.52

74.03

11.45

10.0-20.0 Acre

7.74

77.98

14.29

9.52

71.43

19.05

20+ Acre

10.34

65.52

24.14

17.24

44.83

37.93

All

28.44

48.19

23.37

16.80

71.65

11.55

Note: This Table is based on census survey conducted in 36 villages from the same 6 districts

Table 1 reveals that among different social classes, a significant proportion of middle peasants (67.68%) responded in favour of improvement in their economic conditions. Moreover, approximately 80 per cent of the people belonging to this class are of the opinion that the social and economic conditions in the village as a whole have improved in the last ten years. The responses of the middle peasant class are substantiated by the fact that this class mainly comprises of middle castes—Kurmi, Yadav, and Koeri —that are the most upwardly mobile castes in rural Bihar. The positive response from these castes are borne out by the fact that more than half of the persons belonging to them agree that there has been an improvement in their economic conditions. On the other hand invariably most of the people from the agricultural labour class are of the view that either their economic situation has deteriorated or remained unchanged, except in case of cultivating casual agricultural labour class. Regarding the conditions of village life in general most of the people from all the classes said that there has been an improvement over the last ten years. On the other hand the response of Kurmi and upper caste Muslims followed by upper caste people to conditions in village life has been less than average positive response. This may be due to the growing caste-class conflict and tensions in the rural areas, which in turn is attributable to the perception of a substantial proportion of Scheduled Caste that their economic conditions as well as village life have either worsened or remained unchanged.

In terms of land size groups, most of the people from higher land size households are of the opinion that over the years their socio-economic conditions as well as that of the village as a whole has improved. Again most of the people from landless class feel that their conditions have either deteriorated or remained unchanged.

The perception of people regarding their own economic conditions and that of village life in general has a far reaching implications. While on the one hand, it gives an idea of how villagers perceive their own relative position in the society, on the other, it throws light on the their hopes and aspirations. In the light of the above mentioned perception of poverty and change in the social status, we will try to evaluate different dimensions of poverty as indicated by villagers themselves in the following section.

II

Level of Income and Consumption Expenditure

Besides perception of poverty by the poor themselves we have also calculated income poverty on the basis of income and consumption expenditure of the households. For comparing the variations in income and consumption levels we have calculated average monthly per capita expenditure (MPCE) and income (MPCI) of households belonging to different castes and classes. For the calculation of MPCE all types of family expenditure has been taken into consideration. The items of expenditure which have been taken into account are expenditure on cereals, non-cereal food items such as edible oil, spices, milk and milk products, meat, eggs, fruits, etc. non-food items such as smoking, drinks, fuel, cosmetics, etc. recreation, books, magazines, clothing, social ceremonies etc. Accordingly, for calculating average monthly income all possible sources of income of households have been considered. These include income from agriculture, animal husbandry, self-employment in business and other non-farm activities, regular employment, casual employment, migration, and some other sources such as rent, pension, usury, leasing etc. The average consumption expenditure and income of households shows that apart from low levels of annual income and consumption expenditure there is also a wide variation in the income and consumption expenditure across different castes and classes (Table 2).

The average MPCE is higher than MPCI. This could be due to several reasons; first, there is always a possibility of underestimation of income of rural households as working members of the family are involved in wide array of economic activities including multiple work undertaken by the same person. Second, additional consumption of poorer households arising from access to common property resources. Third, incurring of debt to meet current consumption need etc. However, the comparison of MPCE and MPCI gives some interesting findings across caste, class and landsize categorisation. For example, households from some categories show higher level of income over consumption—among castes Kurmi shows far higher level of MPCI over MPCE and among Yadav MPCI is marginally higher than MPCE. Across class, big peasants show marginally higher MPCI over MPCE. Across landsize groups, households in larger landsize group of 10 acre or more shows higher MPCI over MPCE. In case of highest landsize group of 20 acre and above, MPCI is almost double of MPCE. Interestingly, the average level of MPCE shows contrasting picture; MPCE of scheduled caste is less than half of Kurmi; that of agricultural labour classes are around half of big peasants and landlord classes and that of the landless is less than one-third of landsize group of 10 acre or more.

Table 2: Average Monthly Per Capital Consumption Expenditure and Income

Per capita monthly consumption

Expenditure

Per capita monthly Income

Caste

Brahmin

581

451

Bhumihar

485

390

Backward I

449

269

Yadav

431

415

Koiri

333

248

Kurmi

710

842

OBC II

400

312

S.C.

338

283

Muslim

433

323

Class

AL

320

210

PMP

446

318

MP

529

430

BP

569

527

Landlord

589

431

NAG

368

233

Land

Landless

352

255

0-1.0

417

294

1.0-2.5

492

408

2.5-5.0

521

535

5.0-10.0

1163

815

10.0-20.0

1164

1476

20+

1192

2159

Total

450

353

The above analysis gives an idea about the levels of living in economic terms across different categories of households. But there are large differences among household falling within each category of caste, class and landsize group. Thus, we present percentage distribution of households across different consumption groups across caste, class and landsize categories. The MPCE group classification had been taken from 55th round NSS consumption expenditure survey to enable us to compare poverty level between these two surveys. Given the Planning Commission poverty line of rural Bihar as Rs. 333, percentage of households falling below poverty line (having MPCE up to Rs. 330) is 46.71 per cent, which is far higher than NSS figures of rural poverty 41.50 percent. However, average MPCE figure of Rs. 450 in the present survey is higher than the NSS figure of Rs. 385. This could be because data in our sample is collected at one point of time period whereas NSS figures are collected in four sub-rounds. The much higher poverty level in our survey is attributed to larger concentration of households (nearly one-fifth of all surveyed households) in the 0-250 MPCE group (Table 3).

Table 3: Percentage of households falling under Different Monthly Per Capita Consumption Expenditure (in Rs.) Groups

Name of Survey

0-250

250-330

330-410

410-515

515-765

765+

Average MPCE

Present Survey (1999-2000)

20.90

25.81

20.82

12.80

11.56

8.00

450

NSS(1999-2000)

13.50

28.00

24.00

18.10

13.60

3.80

385

One reason for this could be that our survey is based on class stratification, which gives more weightage to agricultural labour households that forms the bulk of poor households. The weighting diagram used by NSS would, therefore, be quite different. Still so high concentration of household in 0-250 MPCE group cannot be explained only through differences in weighting patterns of sample surveys. It seems that in case of rural Bihar there is an underestimation of the lowest rung of the poor households in rural Bihar in NSS 55th round survey. In contrast, in MPCE group of Rs. 765+, our survey gets higher proportion of households in comparison to NSS round. So as a whole, the stark contrast of level of consumption gets diluted in NSS survey.

The consumption class in terms of MPCE presents contrasting picture across caste, class and land size categories (Table 4). Nearly one-third of households of scheduled caste and one-fifth of OBC II and Koiri caste households are very poor (0-250). Two-third of all scheduled caste and Koiri caste households are below the poverty line. Across class more than one-third of attached agricultural labour class are very poor and more than four-fifth are below the poverty line.

Across land size category nearly one-third and two-third of landless households are very poor and below the poverty line respectively. In contrast, around one-tenth of households belonging to Brahmin and Kurmi caste, in big peasants and landlord class and landholding size more than 5 acre have MPCE more than Rs. 765. In landsize group, 20 acre or more, two-third of households falls in the MPCE group of Rs. 945+.

A similar distribution based on monthly per capita income (MPCI) shows that three-fifth households belonging to scheduled caste and backward caste I are very poor (0-250 MPCI group) and more than two-third of scheduled caste, backward I and Muslim households are below the poverty line.

Across class and landsize group, the percentage of households from very poor to poor and further to rich show a continuous progressive pattern in terms of social hierarchy and landsize ownership. Half and two-third of households belonging to agricultural labour class and landless size groups are very poor or poor. In contrast, one-sixth or more households belonging to big peasants and landlord class and landsize holding of 2.5 acre and more are rich (MPCI>765). In 20+ acre landsize group two-third of households are rich.

Although over the yeas the poverty ratio has declined, the analysis of poverty in terms of overall consumption expenditure groups shows that, there is still a large concentration of poor towards the lowest rung of the consumption expenditure class. This lowest group of consumption class largely constitutes some of the most vulnerable groups of society such as agricultural labour, landless, poor middle peasants, etc.

Composition of Total Consumption Expenditure

To elucidate the contrast evident in total consumption expenditure we present pie charts reflection composition of different items for top 10 percent and bottom 10 percent of households. The mean level of consumption of bottom 10 percent is Rs 189 and that of top 10 percent is Rs. 1507. The breakdown of consumption basket shows that of bottom 10 percent of household more than half of consumption expenditure is incurred by on cereal & cereal substitutes. For the top 10 percent it constitutes only 15 percent. In contrast, more than half of top 10 percent households expenditure is accounted from by miscellaneous good & services constituting small consumer durable, transport, court expenditure, taxes & cess, religious & marriage expenditure and other items & services. In the case of bottom 10 percent it constitutes only 2.89 percent (Fig. I).

Table 4: Percentage Distribution of Households by Monthly Per Capita Consumption Group

Monthly Per Capita Consumption (Rs.) Group

Caste

0-220

220-250

250-290

290-330

330-370

370-410

410-460

460-515

515-605

605-765

765-945

945+

Total

Brahmin

7.83

4.22

6.63

12.65

12.65

9.04

7.83

5.42

9.64

10.84

4.22

9.04

100.00

Bhumihar

10.23

4.55

11.36

5.68

10.23

7.95

12.50

15.91

5.68

5.68

3.41

6.82

100.00

Backward I

16.13

9.68

14.19

8.39

14.19

4.52

5.81

9.03

5.81

4.52

4.52

3.23

100.00

Yadav

1.92

3.85

7.69

15.38

9.62

25.00

11.54

5.77

11.54

3.85

3.85

100.00

Koiri

16.67

6.67

30.00

16.67

10.00

6.67

3.33

3.33

3.33

3.33

100.00

Kurmi

10.71

3.57

14.29

14.29

14.29

3.57

10.71

7.14

7.14

3.57

10.71

100.00

OBC II

12.50

8.33

8.33

18.06

16.67

5.56

8.33

4.17

6.94

4.17

2.78

4.17

100.00

S.C.

20.40

12.44

19.40

15.42

12.94

5.47

3.98

1.49

2.99

3.48

1.99

100.00

Muslim

15.15

7.07

13.13

15.15

13.13

6.06

3.03

7.07

5.05

5.05

3.03

7.07

100.00

Class

AL

20.08

10.58

18.87

14.98

13.38

7.73

2.88

5.25

2.40

2.40

1.44

100.00

PMP

3.70

11.11

7.41

18.52

22.22

3.70

3.70

11.11

11.11

3.70

3.70

100.00

MP

6.45

2.15

11.83

15.05

15.05

10.75

8.60

6.45

10.75

3.23

3.23

6.45

100.00

BP

5.52

4.29

9.20

8.59

11.66

11.66

9.82

8.59

6.13

9.82

4.91

9.82

100.00

Landlord

12.42

4.35

7.45

10.56

8.07

6.21

6.21

10.56

11.80

8.70

4.97

8.70

100.00

NAG

16.51

10.09

12.84

12.84

15.60

5.50

11.93

2.75

4.59

2.75

0.92

3.67

100.00

Land

Landless

19.47

11.58

16.84

12.63

13.68

6.32

5.00

5.53

2.63

2.37

1.58

2.37

100.00

0-1.0

13.16

6.77

12.78

15.41

14.29

8.27

7.52

4.51

5.64

4.14

2.63

4.89

100.00

1.0-2.5

6.72

2.52

10.08

12.61

14.29

6.72

9.24

10.08

11.76

8.40

1.68

5.88

100.00

2.5-5.0

5.19

3.90

3.90

12.99

5.19

11.69

7.79

11.69

12.99

9.09

7.79

7.79

100.00

5.0-10.0

5.41

8.11

16.22

5.41

2.70

13.51

16.22

10.81

21.62

100.00

10.0-20.0

11.11

11.11

11.11

11.11

44.44

11.11

100.00

20+

33.33

66.67

100.00

Total

13.58

7.63

12.91

12.91

12.91

7.74

6.51

6.29

6.17

5.39

2.81

5.16

100.00

Fig. I: Composition of Per Capita Monthly Consumption Expenditure of Households Belonging to Top and Bottom 10 Per cent of Consumption Class

Bottom 10 per cent Top 10 per cent

 

III

Aspects of food security

Access to adequate and nutritious food by households has been one of the most important considerations in determining their poverty levels. However, since the consumption basket of the households may differ across the regions and social groups, a general poverty line approach may not be truely indicative of the relative deprivation of the households in terms of access to food. Moreover, the recent NSS estimates of consumption of food items and nutrients indicate that the per capita cereal intake has declined although per capita real expenditure on all food items has increased over the years. This means that a fall in the cereal consumption has been offset by rise in non-cereal consumption. Again, the degree of shift in the consumption basket may differ over the regions and social groups of population depending on the capacity of households to command food. In the following paragraphs we will look at the trends in the per capita consumption of food grains (cereals as well as non-cereals) and non-foodgrains items across different social groups.

1. Per capita availability of food

Per capita consumption of cereals, foodgrains, and non-foodgrains in the households belong to different castes and class groups are presented in Table 5.

Table 5: Average Monthly Per capita Consumption Expenditure (Rs.) on Different Food Items

Per capita consumption expenditure (Rs.) on

Rice

Wheat

Pulses

Milk items

meat

vegetables

fruits

others

All items

Caste

FC

90.87

62.12

22.11

50.19

16.58

33.14

5.69

81.55

362.25

Kurmi

97.01

68.22

21.89

24.41

10.88

24.69

5.53

56.84

309.47

Yadav

92.17

67.46

18.43

55.93

9.53

29.50

3.87

63.21

340.10

Koeri

80.28

52.76

17.37

23.50

8.79

25.20

2.43

45.30

255.63

OBC (II)

82.74

62.20

16.41

24.78

11.13

26.91

4.33

60.13

288.64

OBC (I)

99.42

64.68

16.13

25.08

21.41

28.53

1.29

58.79

315.33

SC

100.28

69.79

13.41

11.41

8.74

27.39

1.50

45.75

278.27

Muslims

97.16

65.89

19.44

21.88

21.98

28.86

4.23

69.81

329.25

Class

AL

98.26

66.91

14.39

16.13

13.16

27.67

1.57

50.61

288.69

POOMIDP

90.15

62.79

18.89

30.69

12.58

34.99

2.60

68.40

321.08

MIDP

93.34

67.58

18.69

47.81

17.41

27.04

2.97

60.53

335.38

BIGP

94.05

58.69

21.51

43.44

16.35

30.48

6.77

74.88

346.16

LANDLD

79.28

60.28

22.01

55.98

18.09

30.86

6.13

80.46

353.08

NONAG

99.35

69.29

19.13

24.76

15.84

31.31

2.11

69.74

331.54

Land Size

Nil

100.36

70.91

16.49

17.85

15.11

29.43

1.65

59.47

311.27

Up to 1

89.81

57.44

16.27

29.34

14.81

27.70

2.52

53.27

291.16

1 to 2.5

87.25

62.44

19.96

32.38

16.06

28.51

4.87

66.19

317.66

2.5 to 5

91.71

60.65

20.17

52.11

11.84

30.47

6.57

78.83

352.35

5 to 10

88.67

59.94

23.06

65.28

18.69

35.64

9.52

93.16

393.95

10 to 20

89.53

56.83

24.40

92.03

13.65

29.99

7.58

76.67

390.68

more than 20

118.33

78.83

25.47

133.08

19.44

40.61

5.17

144.38

565.32

All

94.02

64.52

17.98

30.98

15.13

29.41

3.47

63.74

319.26

 

Although the per capita consumption expenditure on cereals (rice and wheat) is slightly higher in case of lower castes and classes, the per capita consumption expenditure on pulses and non-foodgrains show a clear bias in favour of upper castes and classes. As a result the total consumption of and expenditure on all food items taken together is much higher in case of household belonging to higher castes and classes. Besides this, there is comparatively low proportion of consumption expenditure on non-food grain items by lower caste and class households. The qualitative difference in the food consumption expenditure pattern of upper caste and SC households is more clearly presented in Fig II.

Fig. II: Percentage Distribution of Consumption Expenditure on Different Food Items

As can be seen from the Fig. 6.1 upper caste households spends 41 per cent of food expenditure on main food grain , rice and wheat, while in case of SC households this percentage is as high as 61. Accordingly, the percentage of expenditure on pulses, milk, meat/eggs, fruits etc. is substantialyy higher among upper caste households in comparison to that among SC households.

Since the present data relates to normal agricultural year, the wide variations in total food consumption or consumption expenditure is not related to general shortage of food and highlights inter-group distributional issues more prominently. Obviously during the times of shortages (not necessarily during famines, droughts, or floods but also during slack seasons of a normal year) some groups can suffer absolute starvation.

The consumption pattern of different population groups in terms of castes and class (Table 5) brings out the following points very clearly.

(i) most of the lower castes/class households largely depend on cereals of current crop production;

(ii) consumption of/ consumption expenditure on non-cereals and non-foodgrains has been substantially lower in case of lower castes/class households in comparison to higher caste/class households;

(iii) the shift in the consumption basket of the households seems to have been limited to higher caste/class households as lower caste/class households still depend largely on cereal consumption;

(iv) consumption of some quality items such as milk/milk product, meat, fruits etc. is minimal among the lower caste/class households.

2. Seasonal variations in food availability

Due to the acute poverty the households face acute food security problems subject to seasonal variations. Even in the absence of natural calamities such as famines, droughts, floods etc. the overall food availability to households is subject to variations depending on the crop cycle, irrigational facilities, cropping patterns etc. Besides, the seasonal variation of food availability is also region specific, which may be associated with the climate or geography of the regions concerned. In our surveyed districts, the months of August to middle of November emerged as the slackest period when more than 40 per cent of the households faced food crisis. The second slack period observed prominently was January to March (Chart 1).

Chart 1: Food Security Situation and Alternative Source of Dependence in Different Villages

Village

  1. Period (months) of food
  • Alternative food items
  • Availability

    Shortage

    Starvation

    Alalpur-Bishunpur

    Chaitra to Sawan, Aghan to Push.

    Magh, Falgun and Kartik.

    Bhado and Ashwin.

    Fish, sag, local vegetables, kekra.

    Rupaspur-Salempur

    Chaitra to Sawan, Aghan to Push.

    Magh, Falgun and Kartik.

    Bhado and Ashwin.

    Fish, local vegetables.

    Paharpurdayal

    Chaitra to Jaystha, Kartik to Magh

    Asarh, Sawan, Falgun

    Bhado, Ashwin

    Fish, local vegetables

    Diwanparsa

    Chaitra to Jaystha, Kartik to Push

    Asarh, Sawan, Magh, Falgun

    Bhado, Ashwin

    Small fish, local vegetables

    Mahisam

    Chaitra to Asarh, Aghan to Magh

    Falgun, Sawan, Kartik

    Bhado, Ashwin

    Fish, ghongha, rat, makhana

    Khangaon

    Chaitra to Jaystha, Kartik to Magh

    Asarh, Sawan, Falgun

    Bhado, Ashwin

    Fish, kekra, jhore of sattu

    Chandkura

    Chaitra to Asarh, Aghan to Falgun

    Sawan, Bhado

    Ashwin, Kartik

    Fish, local vegetables

    Mohiuddinpur

    Chaitra to Jaystha, Kartik to Falgun

    Asarh, Sawan, Bhado

    Ashwin,

    Fish, sattu

    Jitwarpur

    Chaitra to Sawan, Aghan to Push

    Bhado, Magh, Falgun

    Ashwin, Kartik

    Fish, rat, kekra, local vegetables

    Belabadan

    Chaitra to Jaystha, Aghan to Magh

    Asarh, Sawan, Bhado, Falgun

    Ashwin, Kartik Ashwin, Kartik

    Fish, sag

    Samhuti Buzurg

    Chaitra to Asarh, Aghan to Falgun

    Sawan, Bhado

    Ashwin, Kartik

    Fish, local vegetables and sag

    Amarhi

    Chaitra to Sawan, Aghan to Falgun

    Bhado

    Ashwin, Kartik

    Fish, Pareh, local vegetables

    These two periods can be identified as pre-harvest time of kharif and rabi respectively. Besides these, a few households also marked May to July as lean period i.e. at the beginning of agricultural season. Chart 6.1, shows that in different villages, the period of food shortage range form Bhado (August-September) to Kartik (October-November). Starvation period for all villages ranges over two months either from Bhado (August-September) to Ashwar (September-October) or from Ashwin (September-October) to Kartik (October-November). In fact, in all villages, the problem of food security becomes so severe at times that people are forced to depend on a variety of low quality food items like sattu, ghor, wild sag and animal products like local fish, kekra, ghongha, mouse etc. Although, many of these items might be even more nutritious than common food items, but these are generally looked down as food that is of inferior quality and are also not available in sufficient quantity in most of the times.

    Besides the regional variations the period of food deficiency also varied for different sections of the population. On the basis of the perception of respondents more than 25 per cent of the households faced food deficiency for one month or more. Besides there are at least two to three per cent of households that are chronically food deficient for more than six months.

    Table 6: Percentage of Households Reporting Food Deficient Months across Castes and Classes

    Number of food deficient months

    0

    1-3

    4-6

    >6

    Castes

    FC

    89.42

    7.41

    0.00

    3.17

    Kurmi

    88.89

    0.00

    11.11

    0.00

    Yadav

    94.12

    2.94

    2.94

    0.00

    Koeri

    79.31

    17.24

    3.45

    0.00

    OBC (II)

    89.47

    7.02

    1.75

    1.75

    OBC (I)

    61.98

    26.45

    9.09

    2.48

    SC

    49.62

    39.69

    7.63

    3.05

    Muslims

    69.23

    21.54

    6.15

    3.08

    Class

    AL

    58.39

    32.48

    8.03

    1.09

    POOMIDP

    88.89

    8.11

    0.85

    1.69

    MIDP

    90.32

    8.50

    1.18

    0.00

    BIGP

    90.68

    9.32

    0.00

    0.00

    LANDLD

    90.48

    2.86

    3.81

    2.86

    NONAG

    69.66

    19.10

    2.25

    8.99

    All

    73.70

    19.21

    4.57

    2.52

    The largest concentration of such households is in non-agricultural households. As a whole, however, most of the households hit by food deficiency are faced with food shortage for 1 to 3 months in a year.

    Hence, although seasonal variations in food availability have a wide ranging effect on population they affect the poor more severely even to the extent of causing irreversible damage to their assets and human resource. In such a situation seasonality also has a lagged effect on households even during the non-slack periods.

    3. Changes in food security over time

    Although the food availability situation is heavily biased towards upper caste and class, the overall food availability has increased over the years. This is reflected in the perception of none other than villagers themselves responding to the questions. "Do you get enough food round the year?"—the percentage of households from different land owning size and class during the two referred survey periods (1981-82 and 1999-2000) who said that they were not getting enough food is presented in Table 7.

    Table 7: Percentage of Households Not Getting Enough Food in 1981-82 and 1999-200

    Percentage of Households Not Getting Enough Food

    Land owned (in acres)

    1981-82

    1999-00

    Nil

    88.6

    45.00

    Up to 1

    69.3

    17.67

    1 to 2.5

    54.7

    9.17

    2.5 to 5

    35.9

    2.63

    5 to 10

    13.3

    0.00

    10 to 20

    17.4

    0.00

    more than 20

    17.1

    0.00

    Class

    AL not tied

    82.7

    59.62

    AL tied

    88.5

    66.67

    POOMIDP

    59.8

    22.22

    MIDP

    60.6

    6.45

    BIGP

    44.2

    6.10

    LANDLD

    30.6

    6.88

    NONAG

    79.7

    27.52

    Total

    67.8

    25.93

    It can be seen from Table 7 that the percentage of households "not getting enough food" round the year has come down to 26 in 1999-200 from 68 in 1981-82. Today there is no household with more than 5 acres of land which faces any kind of food deficiency. Accordingly very few households from middle peasant, big peasant, and landlord class report that they are "not getting enough food". However, the situation in regard to food availability in the case of landless and agricultural labour households is still grim through has been some improvement. Approximately 60 per cent of these households find that they do not get enough food round the year. The position of non-agricultural class is same as that of poor middle peasants.

    The overall improvement in the food scenario is largely the outcome of the overall general improvement in the availability of main food grains such as rice and wheat. The consumption of inferior grains such as millets, jowar, bazra, etc. has been almost completely replaced by the consumption of rice and wheat, which is now almost universalised. However, there has been little improvement in consumption of non-foodgrain items such as pulses, vegitables, milk, eggs/meat, fish, fruits etc. In order to observes the changes in the dietary pattern in 1999-2000 over 1981-82, we have calculated number of days of consumption of different items in a month in the year 1999-2000 and 1981-82. Since, apart from seasonal variations, availability of different food items is subject to regional variation, we have calculated these figures at the village level. Average number of days of consumption of food items in a month for the two periods are presented in Table 8. Since the consumption of rice and wheat is completely complement each other, we have not separated these two items, and the average figure shows consumption of these two items taken together.

    Table 8 reveals a marked improvement in terms of consumption of rice and wheat. The average number of days of consumption of rice and wheat has improved from 33 days in 1981-82 to 57 days in 1999-200. This implies that now the households are able to consume rice and wheat almost daily. Also, the regional variations in terms of number of days of consumption has drastically fallen in 1999-2000 compared to that in 1981-82. Consumption of pulses and vegetables has also improved slightly during the intervening period. The consumption of milk, which was very low in 1981-02, as the average number of days of consumption was only 3 in a month has now improved to 13 days in a month. However, increase in the consumption of these quality food items has been largely limited to upper castes and class of the households. Increased animal husbandry activities and improved diary farming over the years has contributed to an increase in the consumption of milk. Consumption of many other quality food items such as eggs, meat, fish, fruits etc., however, show either very little improvement or even deterioration during the intervening period.

    Table 8: Average Number of Days in a Month of Consumption of Different Food Items

    Rice/

    wheat*

    Inferior cereals

    Pulses

    Vegetables

    Milk

    Eggs/Meat

    Fish

    Fruits

    1999-2000

    Village

    Alalpur

    57.1

    21.8

    25.7

    14.8

    0.8

    0.4

    1.4

    Salempur

    58.2

    22.0

    25.5

    14.2

    0.7

    0.5

    0.7

    Paharpur

    60.0

    24.4

    28.7

    14.4

    0.7

    1.2

    2.0

    Diwanparsa

    55.4

    20.9

    28.2

    11.6

    0.4

    0.6

    2.8

    Mehisam

    56.8

    19.4

    26.0

    12.1

    0.9

    1.7

    0.3

    Khangaon

    56.5

    21.9

    25.8

    12.6

    0.8

    1.3

    0.9

    Chandrakura

    57.2

    18.3

    24.4

    8.0

    0.5

    0.3

    1.6

    Mohiuddinpur

    56.6

    18.7

    25.7

    10.4

    0.6

    0.4

    1.2

    Jitwarpur

    56.4

    18.5

    25.9

    16.4

    1.0

    2.6

    0.6

    Belabadan

    56.5

    18.1

    19.3

    10.5

    1.3

    0.8

    0.6

    Samhuti

    59.4

    21.2

    27.4

    13.5

    1.1

    0.6

    3.0

    Amarhi

    56.6

    20.1

    27.3

    10.5

    0.9

    0.4

    1.8

    Total

    57.0

    negligible

    20.0

    26.0

    13.0

    0.9

    0.1

    1.0

    1981-82

    Village

    Alalpur

    30.9

    10.1

    13.6

    21.2

    5.7

    0.4

    1.0

    0.8

    Salempur

    34.0

    7.2

    12.1

    18.8

    4.4

    0.3

    0.9

    0.8

    Paharpur

    55.4

    2.5

    17.3

    25.4

    7.3

    1.7

    3.3

    2.6

    Diwanparsa

    38.5

    6.9

    8.8

    20.0

    2.8

    0.7

    0.8

    0.6

    Mehisam

    25.8

    10.7

    9.7

    18.6

    2.4

    0.9

    3.4

    3.1

    Khangaon

    28.7

    5.8

    8.6

    21.6

    3.6

    0.5

    2.4

    1.8

    Chandrakura

    28.2

    11.1

    8.8

    19.3

    2.4

    0.5

    0.7

    0.6

    Mohiuddinpur

    30.0

    6.8

    8.3

    20.4

    2.7

    0.5

    0.9

    0.6

    Jitwarpur

    33.4

    7.2

    9.9

    19.1

    4.2

    0.6

    3.1

    3.0

    Belabadan

    28.4

    10.2

    9.8

    20.6

    3.9

    1.5

    1.7

    1.3

    Samhuti

    39.8

    1.1

    9.4

    15.5

    3.9

    0.3

    0.6

    0.3

    Amarhi

    44.0

    0.6

    12.3

    22.4

    8.1

    1.3

    1.9

    1.4

    Total

    33.0

    7.0

    10.1

    19.8

    3.9

    0.7

    1.9

    1.8

    * Sum of average number of days of consumption of rice and wheat

    Again the class-wise pattern shows considerable venation inequality in the improvement of food quality. Whole households belonging to lower castes and class have improved cereals availability they do not show much improvements in terms of quality food items. Since in the case of lower caste and class households, one of the major source of some of the quality food items such as fish, fruits, etc. has been forest, ponds, and other commons, fast depletion of these sources over the years has resulted in to deterioration in the consumption of these items over the years. Today the consumption of the quality items is largely limited to some upper classes of the households. Though, as is clear from the table, even among the lower classes the consumption basket has widened to include variety of food items..

    Skipping of Meals

    Skipping of meals has been one of the most important coping mechanisms of households particularly in a poor economy. Although there is no normative number of meals per day, the data collected on a 'number of meals taken per day' is indicative of two important aspects: one, this give an idea of intra-household variations in the frequency of meals taken by males, females, and children, and second it also indicates the extent of variations in the availability of meals across different social groups such as caste and class. Table 7 shows the distribution of persons skipping meal at the time of food scarcity.

    Table 7:Castewise Distribution of Persons Skipping Meal at the Time of Food Scarcity

    CAST

    Adult Females

    Adult Males

    All Females

    Others

    Total

    Brahmin

    64.52

    1.29

    10.97

    23.23

    100.00

    Bhumihar

    44.83

    1.15

    19.54

    34.48

    100.00

    Yadav

    67.86

    10.71

    21.43

    100.00

    Koiri

    56.00

    8.00

    36.00

    100.00

    Kurmi

    46.15

    7.69

    46.15

    100.00

    OBC II

    74.60

    1.59

    9.52

    14.29

    100.00

    OBC I

    70.00

    7.14

    7.14

    15.71

    100.00

    SC

    59.78

    2.23

    7.26

    30.73

    100.00

    Muslim

    67.44

    1.16

    11.63

    19.77

    100.00

    Total

    62.41

    2.33

    10.07

    25.18

    100.00

    Notably, as the table shows, adult males hardly skip any meal. In contrast, in nearly three-fourth of all surveyed household adult females skip meals at the time of scarcity. Across castes, only in backward caste I, some adult males skip meal at the time of scarcity, while those among Yadav, Koiri and Kurmi castes do not do so at all. There are some variations in incidence of adult females skipping meals, but when other females are added to them, then castewise disparity get reduced by substantial margin.

    Possession of Assets

    Asset holding position of household is an important indicator of poverty. For the assessment, we can classify the Households' total assets in two parts—'productive' and 'non-productive'. Productive assets may include all kinds of modern and traditional agricultural machinery, transport vehicles, carts, livestock, land etc. However, For the purpose of clarity we have treated certain productive assets such as House, livestock, and land separately, because of their specific roles in rural areas.

    Table 9: Per Capita Value of Productive Assets, House, Non Productive Assets and Livestock

    Productive Assets

    House

    Consumer durable

    Livestock

    Total Assets excluding Land

    land Owned

    (in acre)

    Caste

    Brahmin

    1330

    12878

    1288

    744

    16240

    0.48

    Bhumihar

    843

    12317

    1164

    633

    14957

    0.35

    Yadav

    282

    6097

    724

    965

    8068

    0.17

    Koiri

    350

    11030

    927

    468

    12774

    0.14

    Kurmi

    3317

    24126

    1517

    441

    29401

    0.48

    OBC II

    140

    7383

    588

    324

    8435

    0.13

    OBC I

    277

    5033

    487

    540

    6337

    0.07

    S.C.

    127

    4592

    276

    432

    5427

    0.03

    Muslim

    108

    5623

    750

    294

    6774

    0.14

    Class

    AL

    86

    4259

    285

    456

    4532

    0.06

    PMP

    201

    8262

    747

    623

    9833

    0.12

    MP

    796

    8608

    698

    878

    10980

    0.16

    BP

    1675

    14475

    1279

    907

    18336

    0.46

    Landlord

    825

    14440

    1607

    504

    17375

    0.49

    NAG

    29

    4423

    429

    225

    5106

    0.01

    Land Size (in acres)

    Landless

    18

    4142

    322

    328

    4810

    0.00

    0-1.0

    238

    6608

    606

    529

    7981

    0.09

    1.0-2.5

    408

    11372

    942

    638

    13361

    0.25

    2.5-5.0

    909

    15142

    1492

    820

    18364

    0.49

    5.0-10.0

    2163

    18034

    1769

    1070

    23035

    0.90

    10.0-20.0

    11089

    30405

    2415

    966

    44875

    1.73

    20+

    19883

    51250

    10775

    1625

    83533

    3.96

    Total

    582

    8445

    773

    542

    10342

    0.21

    All kinds of non-productive assets have been clubbed together under consumer durable assets. The per capita value of these assets has been presented in Table 9. At per capita level, as housing constitutes more than four-fifth of total value of assets excluding land. Productive assets and livestock together constitute hardly one-tenth of total assets -- both being almost equal.

    Across castes, assets per capita among Kurmi are far higher than that of other castes as the components of the assets of the farmer, except livestock is far above that in the case of this rest of the castes. In regard to the possession of livestock, Yadav score over the other castes although in terms of per capita total assets they fall far below the forward castes (Brahmin and Bhumihar) and landed backward castes, Kurmi and Koiri. In respect of class and land categories the assets per capita increase progressively as one moves up in the social hierarchy and land sizes respectively. But per capita assets of big peasants are marginally higher than those of landlords by virtue of their higher level of productive asset. The value of per capita non-productive assets which is largely consists or consumer items, is the highest among the landlord class, which is inductive of high social status it enjoy in society. In respect of the land holding categories, percapita assets of households with landholding size of 20 acres and above, much higher than the rest of all land size groups.

    House property constitutes more than four-fifth of all asset per capita (except land) in rural Bihar as a whole. It would be interesting to examine the proportional breakdown of moveable assets (excluding land and house assets) in productive and non-productive categories, which the latter constitute nearly three-fifth of all assets, and the former in a few categories constitute more than half of total moveable assets.

    Domestic consumer durables

    Possession of different types of domestic consumer durable is not only an indicator of quality of life but also it may be taken as directly indicative of the level of poverty of a household. In fact, in the absence of proper income data, possession of domestic consumer durable gives an idea about the living standard of the households. In Table 10 the percentage of households possessing different types of these consumer durable has been presented. The table shows that apart from the ownership of cot (Charpoy and palang), the ownership of lantern/petromax, mosquito net, torch, and watch is widespread. Besides these, there is a substantial proportion of households own some other consumer durable such as bycycle, chair/table, radio, etc. However, possession of these durables shows considerable variation over different regions and class of households. Some of the rich villages viz. Paharpur Dayal in Gopalganj and both villages in Rohtas show better asset holding position in comparison to that in other villages. Accordingly, almost all big farmer and upper class households possess items like cot, chair and table, torch, and watch, while only a small proportion of small farmers and lower class households possess these items.

    Table 10: Percentage of Households with Different Consumer Durable

    By cycle

    Chair/

    table

    Cot

    Cooker

    fan/

    stove

    Lantern/

    petromax

    Mosquito net

    Motor cycle

    Radio

    TV

    Sewing machine

    Torch

    Watch

    Village

    Alalpur

    27.27

    22.73

    90.91

    2.27

    4.55

    54.55

    38.64

    13.64

    4.55

    9.09

    61.36

    56.82

    Salempur

    40.54

    35.14

    97.30

    2.70

    1.35

    78.38

    55.41

    33.78

    0.00

    4.05

    78.38

    62.16

    Paharpur

    72.73

    50.00

    100.00

    18.18

    18.18

    86.36

    81.82

    4.55

    31.82

    22.73

    18.18

    86.36

    72.73

    Diwanparsa

    77.19

    21.05

    92.98

    3.51

    1.75

    59.65

    50.88

    3.51

    22.81

    1.75

    7.02

    66.67

    45.61

    Mehisam

    28.15

    26.67

    63.70

    5.19

    5.19

    59.26

    70.37

    0.74

    22.96

    2.96

    5.19

    60.74

    41.48

    Khangaon

    41.00

    24.00

    63.00

    4.00

    3.00

    56.00

    53.00

    2.00

    22.00

    7.00

    7.00

    59.00

    40.00

    Chandrakura

    22.97

    24.32

    83.78

    9.46

    4.05

    58.11

    35.14

    22.97

    9.46

    4.05

    56.76

    48.65

    Mohiuddinpur

    37.50

    15.63

    87.50

    3.13

    53.13

    25.00

    15.63

    6.25

    3.13

    53.13

    40.63

    Jitwarpur

    48.45

    42.24

    60.25

    6.83

    6.83

    59.63

    64.60

    1.24

    27.33

    11.80

    2.48

    59.01

    51.55

    Belabadan

    36.84

    30.26

    71.05

    3.95

    47.37

    60.53

    3.95

    18.42

    2.63

    5.26

    27.63

    38.16

    Samhuti

    33.82

    23.53

    95.59

    7.35

    1.47

    58.82

    55.88

    1.47

    30.88

    2.94

    17.65

    75.00

    51.47

    Amarhi

    60.42

    35.42

    97.92

    12.50

    2.08

    58.33

    58.33

    2.08

    35.42

    2.08

    18.75

    83.33

    54.17

    CLASS

    ALLF

    22.34

    4.26

    58.51

    1.06

    1.06

    35.11

    29.26

    9.57

    1.60

    1.60

    40.43

    22.34

    ALNF

    40.00

    21.43

    76.43

    0.71

    1.43

    48.57

    45.71

    0.71

    15.71

    1.43

    2.86

    49.29

    39.29

    POOMIDP

    53.85

    38.46

    88.46

    3.85

    84.62

    65.38

    34.62

    3.85

    76.92

    53.85

    MIDP

    57.89

    29.82

    100.00

    5.26

    68.42

    63.16

    28.07

    5.26

    8.77

    68.42

    54.39

    BIGP

    61.29

    57.42

    100.00

    8.39

    5.16

    76.13

    81.94

    1.94

    40.65

    11.61

    10.97

    83.23

    72.90

    LANDLD

    51.35

    57.43

    100.00

    20.27

    11.49

    85.81

    81.08

    6.08

    47.30

    15.54

    16.89

    85.14

    72.97

    NAG

    31.34

    19.40

    64.18

    2.24

    2.24

    55.22

    53.73

    14.93

    2.24

    5.22

    50.00

    40.30

    Cultivated land (in acres)

    Nil

    30.96

    20.18

    66.74

    4.82

    3.44

    52.98

    48.85

    1.15

    18.35

    4.36

    5.50

    50.92

    38.30

    Up to 1

    33.92

    18.13

    80.12

    1.75

    1.17

    53.80

    46.20

    18.13

    2.92

    2.34

    63.16

    46.20

    1 to 2.5

    53.74

    38.10

    88.44

    4.76

    2.72

    65.31

    64.63

    0.68

    28.57

    4.76

    6.80

    66.67

    50.34

    2.5 to 5

    65.31

    60.20

    93.88

    11.22

    3.06

    75.51

    80.61

    4.08

    42.86

    13.27

    12.24

    83.67

    78.57

    5 to 10

    87.50

    78.13

    100.00

    25.00

    6.25

    100.00

    93.75

    6.25

    75.00

    9.38

    31.25

    100.00

    84.38

    10 to 20

    60.00

    100.00

    100.00

    40.00

    60.00

    80.00

    100.00

    60.00

    60.00

    40.00

    100.00

    100.00

    more than 20

    50.00

    100.00

    100.00

    50.00

    100.00

    100.00

    100.00

    50.00

    100.00

    100.00

    100.00

    Table Total

    41.30

    29.85

    77.33

    5.95

    3.48

    59.60

    56.45

    1.46

    24.92

    5.84

    6.96

    61.62

    48.37

    There has also been a noticeable change in the ownership pattern of these items over the years. In 1981-82, only 15 per cent households owned mosquito nets, which has increased to 56 per cent in 1999-2000. In the same way percentage of households owning torches, bycycles, and radios in 1981-82 were 25, 15, and 8 respectively, which increased to approximately 62, 41, and 25 respectively in 1999-2000. Accordingly, during 1981-82 there was no household owning a tele-vision, but in 1999-2000 approximately 6 per cent of the households owned a tele-vision. In the same way today in almost all the villages possession of motor cycle/scooter, sewing machine, watch, pressure cooker etc. are more frequently visible. It is noteworthy that remittances from migration play a major role in improving the consumer assets position of the households. In the case of lower caste and class households in particular migrant labour have been able to purchase consumer items such as watch, torch, radio, etc. more commonly. The types of some of the common consumer durable possessed by households districtwise during the two survey periods has been presented in Table 11.

    Table 11: Average Number of Different Consumer Durable Per Household in 1999-00 and 1981-82

    1999-00

    1981-82

    Palang/charpoy

    Mosquito net

    Bicycle

    Radio

    Electrical goods

    Palang/charpoy

    Mosquito net

    Bicycle

    Radio

    Electrical goods

    Alalpur

    2.77

    0.68

    0.32

    0.16

    0.09

    5.44

    0.90

    0.33

    0.08

    0.08

    Salempur

    3.34

    1.15

    0.41

    0.35

    0.00

    3.24

    0.25

    0.09

    0.05

    0.10

    Paharpur

    3.95

    1.68

    0.73

    0.32

    0.59

    3.88

    1.77

    0.61

    0.20

    0.01

    Diwanparsa

    3.05

    0.79

    0.81

    0.25

    0.04

    2.69

    0.15

    0.32

    0.14

    0.07

    Mehisam

    1.31

    1.24

    0.29

    0.23

    0.13

    0.72

    0.27

    0.05

    0.07

    0.01

    Khangaon

    1.46

    1.09

    0.46

    0.24

    0.13

    1.40

    0.07

    0.09

    0.03

    0.02

    Chandrakura

    2.50

    0.70

    0.23

    0.28

    0.15

    2.27

    0.04

    0.13

    0.15

    0.05

    Mohiuddinpur

    2.53

    0.47

    0.38

    0.16

    0.06

    1.68

    0.06

    0.07

    0.05

    0.01

    Jitwarpur

    1.44

    1.25

    0.53

    0.29

    0.21

    0.88

    0.38

    0.17

    0.06

    0.07

    Belabadan

    1.50

    1.20

    0.38

    0.18

    0.03

    1.17

    0.42

    0.12

    0.08

    0.01

    Samhuti

    3.74

    1.28

    0.35

    0.32

    0.03

    3.07

    0.21

    0.13

    0.14

    0.17

    Amarhi

    4.23

    1.50

    0.75

    0.48

    0.06

    4.83

    0.80

    0.52

    0.17

    0.01

    CLASS

    AL

    2.15

    0.37

    0.23

    0.10

    0.03

    2.11

    0.05

    0.04

    0.03

    0.01

    POOMIDP

    2.38

    1.19

    0.54

    0.35

    0.00

    0.82

    0.04

    0.06

    0.01

    0.01

    MIDP

    2.40

    1.26

    0.63

    0.33

    0.05

    3.50

    0.47

    0.43

    0.16

    0.03

    BIGP

    3.77

    1.87

    0.66

    0.47

    0.19

    5.21

    1.39

    0.56

    0.37

    0.31

    LANDLD

    3.36

    2.01

    0.58

    0.50

    0.36

    4.35

    1.52

    0.35

    0.39

    0.25

    NAG

    1.32

    0.83

    0.31

    0.15

    0.05

    1.85

    0.11

    0.18

    0.01

    0.01

    Total

    2.27

    1.11

    0.44

    0.27

    0.12

    2.29

    0.33

    0.18

    0.10

    0.05

    Except in case of charpoy/palang (cot), whereas average number shows slight decline, the average number of all other consumer durable per household show considerable improvement in 1999-2000 over 1981-82. However, it is evident from the table that there is little improvement in the case of agricultural labour and non-agricultural class of households even for some basic items such as mosquito net. Among different villages Alalpur in Gaya and Mohiuddinpur in Nalanda have recorded the least improvements in terms of acquiring these basic consumer items.

    Housing and Basic Amenities

    The provision of housing and basic amenities is also among the most important indicators of poverty. In rural Bihar apart from regional variations in the provision of these facilities, there are also disparities across social groups. The types of housing and basic amenities facilities available to different households is presented in Table 12

    Table 12: Percentage of Households with Different Housing and Basic Amenities Facilities

    1999-00

    1981-82

    Housing

    Decent

    Lighting*

    Own

    Toilet

    Housing

    Decent

    Lighting*

    Own

    Toilet

    Kutcha

    Semi-Pucca

    Pucca

    No. of rooms

    Semi-Pucca

    Pucca

    No. of rooms

    Caste

    Brahmin

    41.80

    29.90

    28.30

    3.40

    60.24

    16.27

    50.7

    28.4

    3.9

    74.6

    16.4

    Bhumihar

    17.30

    44.90

    37.80

    3.45

    62.50

    28.41

    21.1

    39.2

    3.9

    71.8

    18.8

    Kurmi

    9.80

    27.30

    62.90

    2.69

    38.46

    3.85

    3.2

    55.1

    6.6

    70.2

    22.6

    Yadav

    36.50

    49.00

    14.50

    3.53

    50.00

    10.00

    56.7

    7.7

    3.3

    56.2

    0.0

    Koiri

    18.10

    51.50

    30.40

    4.86

    57.14

    28.57

    3.0

    17.4

    4.3

    65.3

    1.8

    Other OBC II

    35.70

    42.80

    21.40

    2.82

    44.44

    9.72

    24.2

    13.5

    3.5

    64.0

    7.9

    OBC I

    66.40

    24.10

    9.80

    2.47

    36.77

    2.58

    54.7

    1.2

    2.7

    15.0

    0.9

    SC

    59.30

    32.90

    8.00

    2.25

    19.90

    0.00

    44.1

    1.9

    2.3

    9.9

    1.3

    Muslim

    82.20

    14.60

    3.30

    2.17

    45.45

    10.10

    74.6

    11.1

    2.1

    31.9

    5.5

    Class

    ALNF

    75.6

    22.1

    2.4

    1.88

    20.19

    0.00

    62.0

    0.0

    1.9

    9.7

    1.3

    ALNA

    70.7

    24.6

    4.7

    2.17

    11.11

    5.56

    27.0

    0.0

    2.7

    11.1

    0.5

    ALLF

    62.0

    28.0

    10.0

    2.53

    23.85

    0.92

    57.8

    3.7

    2.6

    20.1

    0.8

    ALLA

    69.1

    17.6

    13.5

    1.67

    33.33

    0.00

    42.8

    0.0

    2.2

    8.6

    6.0

    POOMIDP

    36.2

    45.8

    18.0

    2.93

    40.74

    0.00

    27.9

    15.4

    3.2

    40.5

    2.0

    MIDP

    26.6

    46.2

    27.3

    3.23

    51.61

    5.38

    31.4

    20.2

    3.7

    67.4

    1.0

    BIGP

    29.0

    38.5

    32.5

    4.06

    60.12

    21.47

    15.2

    73.1

    5.9

    94.4

    37.6

    LANDLD

    21.5

    35.5

    43.1

    3.38

    67.70

    24.84

    50.6

    45.3

    2.9

    100.0

    49.3

    NAG

    52.6

    36.0

    11.4

    1.90

    39.45

    3.67

    45.7

    5.8

    2.5

    42.3

    2.4

    Total

    45.1

    32.1

    22.5

    2.81

    42.65

    9.65

    43.0

    13.5

    3.1

    37.9

    6.4

    * Includes lighting through electric, oil lamps, kerosine lamps.

    It can be seen from Table 12 that a very small proportion of OBC I, SC, and Agricultural labour households own pucca houses. However, among agricultural labour, cultivating households (both attached and free labour households) have improved their position in terms of the type of houses they own. Accordingly, the state of lighting and sanitation is some what better in non-cultivatiing agricultural labour households. There has been also an overall improvement in lighting and sanitation facilities within the villages in general. However, as far as lighting is concerned, the major source of lighting is still the traditional kerosene lamp. The use of electricity is still very low and available to only 2 to 3 per cent of the households. Though sanitary facilities have improved at the village level, it is largely limited to upper caste and class households.

    The overall assets position is an important indicator of the level of living as well as scope of future income generation. But this in itself is not enough. The educational level of rural populace particularly of females and the overall health facilities and other basic amenities are more important aspects of human development and level of living particularly in the present day contest. Education and skill levels are also important in enhancing future earnings.

    IV

    Access to Education

    Educational status is one of the most important indicators of human development. It is significant that in spite of the low literacy levels in rural Bihar, people perceive an improvement in the education and schooling system in the state. Also, many especially in the more developed districts of Bihar are aware of the advantages of education. During the social mapping exercise in different villages it was patently evident that the existence of a primary, middle and or high school within the villages is often considered a status symbol for the village. In general, the presence of schools clearly indicate the level of literacy and education particularly of female education in different villages.

    Thus, before going into educational facilities available in the sample villages and changes therein over time, we will have a look into the general educational level within the region separately for adults and children. We have already observed in Chapter III (Table 3.7 & 3.8) that though the over all effective literacy (for population of age 5 years and above) has improved drastically over the years, this is still abysmally low at 52 per cent, with a wide variations over caste and class. Table 13 presents literacy and education status in the age group, 15 & above across caste, class, and landed group. Three-fifth of all persons in the 15 & above age group and more than three-fourth of all persons in backward I, scheduled caste and Muslims are illiterate. A similar dimension of illiteracy is seen among landless household as well. As against this, among forward castes, Kurmi and Koiri castes and landsize categories of 2.5 acre and above and middle peasants to landlord classes, more than three-fourth of all adult persons are literate.

     

    Table 13: Percentage Distribution of Persons by Level of Education across Caste, Land, Class and District

    Caste

    Educational Level

    Illiterate

    Primary

    Middle

    Secondary

    Graduate

    Postgraduate & above

    Total

    Brahmin

    40.00

    8.51

    16.72

    26.57

    6.27

    1.94

    100.00

    Bhumihar

    43.11

    10.78

    17.29

    23.81

    4.26

    0.75

    100.00

    Backward I

    74.85

    6.09

    7.86

    8.84

    2.16

    0.20

    100.00

    Yadav

    62.78

    5.56

    11.11

    16.67

    3.89

    100.00

    Koiri

    44.72

    10.57

    17.07

    24.39

    1.63

    1.63

    100.00

    Kurmi

    40.71

    3.54

    23.01

    28.32

    4.42

    100.00

    OBC II

    68.75

    8.59

    7.42

    10.94

    3.13

    1.17

    100.00

    S.C.

    81.66

    3.85

    5.39

    7.40

    1.39

    0.31

    100.00

    Muslim

    72.61

    4.95

    7.59

    12.87

    0.99

    0.99

    100.00

    Owned Land (in acre.)

    Landless

    80.35

    5.73

    5.37

    7.40

    0.88

    0.26

    100.00

    0-1.0

    65.79

    6.34

    11.58

    14.21

    1.64

    0.44

    100.00

    1.0-2.5

    50.21

    7.47

    17.22

    18.46

    4.77

    1.87

    100.00

    2.5-5.0

    31.50

    9.45

    18.37

    32.55

    6.56

    1.57

    100.00

    5.0-10.0

    28.05

    9.50

    14.03

    36.20

    10.41

    1.81

    100.00

    10.0-20.0

    38.89

    5.56

    20.37

    24.07

    9.26

    1.85

    100.00

    20+

    14.29

    7.14

    21.43

    35.71

    21.43

    100.00

    Class

    ALN

    87.83

    3.18

    3.37

    4.49

    0.75

    0.37

    100.00

    ALL

    76.56

    6.24

    9.26

    6.43

    1.13

    0.38

    100.00

    PMP

    50.56

    7.87

    17.98

    20.22

    3.37

    100.00

    MP

    62.44

    3.29

    13.62

    18.31

    1.88

    0.47

    100.00

    BP

    44.68

    8.12

    16.11

    25.49

    3.78

    1.82

    100.00

    Landlord

    34.40

    9.56

    16.44

    29.36

    9.23

    1.01

    100.00

    NAG

    66.67

    9.82

    8.53

    12.92

    1.29

    0.78

    100.00

    Total

    61.24

    6.87

    11.40

    16.40

    3.25

    0.84

    100.00

    Caste and classwise more than half of a) Brahmins, Kurmis and Koeri castes, b) those belonging to landsize groups will more than 2.5 acres of land and c) middle peasant and landlords, are literate. Thus, a large proportion of persons belonging to these castes and classes are not only relatively more literate, but also manage to complete their education up to higher secondary level. Further, most of the persons in these categories have acquired post graduate and higher degrees, and even a higher proportion of them are graduates.

    Apart from the adult populace the positive trend is also evident among children. A look at the percentage enrolments of children (5-14 years) in different districts shows that there is not much discrimination between the enrolment of boys and girls (Table 14). This can be seen from the ratio of girls to boys enrolment in each district except one. Further, it needs to be noted that there are no schools in any district in which only boys are enrolled.

    Table 14: Percentage of Boys and Girls Enrolled in School in Different Districts

    Boys

    Girls

    Ratio of girl to boy enrolment

    District

    Gaya

    79.25

    62.16

    0.78

    Gopalganj

    85.00

    77.97

    0.92

    Madhubani

    69.62

    63.98

    0.92

    Nalanda

    69.51

    60.00

    0.86

    Purnea

    74.65

    56.67

    0.76

    Rohtas

    95.65

    76.19

    0.80

    Total

    77.73

    64.51

    0.83

    The ratio of girl to boy enrolment is the lowest in Purnea followed by Gaya. In Rohtas enrolment of both boys and girls is substantially higher in comparison to that in other districts. Gopaganj and Madhubani both show very little gender discrimination in terms of school enrolment but there is a slight difference—Gopalganj shows less gender bias at higher level of enrolment ratio while Mahubani shows less bias at low level of enrolment ratio.

    Among In lower castes and classes, not only enrolment levels of boys lower but also gap between enrolment boys and girls is much higher—even reaching more than 25 percent in some categories. In effect the girls are much more discriminated against in these households. As a whole, three-fourth for boys and two-third for girls as enrolled is shows (Table 15).

    Table 15: Percentage Enrolled Children Sex-wise

    Caste

    Boys

    Girls

    Ratio of Girls to boys

    Brahmin

    94.29

    85.71

    0.91

    Bhumihar

    96.20

    92.31

    0.96

    Backwrd I

    62.14

    38.30

    0.62

    Yadav

    78.72

    65.79

    0.84

    Koiri

    100.00

    95.45

    0.95

    Kurmi

    80.00

    88.24

    1.10

    OBC II

    88.52

    62.12

    0.70

    S.C.

    62.42

    48.09

    0.77

    Muslim

    69.86

    50.98

    0.73

    Class

    ALNF

    51.88

    37.86

    0.73

    ALLF

    72.22

    46.23

    0.64

    PMP

    88.46

    68.00

    0.77

    MP

    89.47

    61.19

    0.68

    BP

    96.40

    87.02

    0.90

    Landlord

    96.55

    89.66

    0.93

    NAG

    70.59

    70.83

    1.00

    Land

    Landless

    59.09

    48.33

    0.82

    0-1.0

    88.65

    62.93

    0.71

    1.0-2.5

    93.33

    78.26

    0.84

    2.5-5.0

    96.23

    87.10

    0.91

    5.0-10.0

    100.00

    93.33

    0.93

    10.0-20.0

    100.00

    100.00

    1.00

    20+

    100.00

    100.00

    1.00

    Total

    77.73

    64.51

    0.83

    From the FGD it is clear that the many people in Bihar still attach very little importance to girl's education. Across districts, several people perceive girl's education as unnecessary and wasteful. As most of the younger children, irrespective of their sex, are not roped in to work either at home or outside, many parents send their children, including the girls to primary school. However, as the child matures into a teenager, in most families, it is the girl child's education that seems to become a casualty. Moreover, in many villages, the lack of facilitate for higher levels of high school education such as a middle school in the village etc. result in parents stopping their girl child's education after the primary level.

    Table 16 presents the educational facilities available in villagers. In none of the twelve villages is there an exclusive primary school for girls although within each village there is at least one primary school for boys/co-educational school. A middle school for boys/co-education school can be found within a distance of five km. but girl's middle school is accessible only to those living in two of twelve villages. However, girl students can access high school for girls in one-third of surveyed villages within a distance of 5 km. whereas boys of all villages can access them within the same distance.

    Table 16: Number of Villages with Educational Facilities in 12 Sample Villages

    Distance

    Primary School

    (Co-Ed.)

    Primary School (girls)

    Middle

    School

    (C0-Ed.)

    Middle School

    (Girls)

    High/Higher Secon. (boys)

    High/Higher Secon. (girls)

    Religious

    School

    Non -formal

    Education

    Centre

    Inside village

    12

    3

    1

    2

    less than 2km.,

    easy access

    1

    less than 2km.,

    acess problem

    2

    3

    2 km. But less than 5 km.,easy access

    3

    1

    5

    2

    1

    2 km. But less than 5 km., access problem

    3

    1

    3

    2

    1

    5 km. But less than 10 km., easy access

    1

    5 km. But less than 10 km., access problem

    10 km. Or more easy access

    10 km. Or more some access problem

    1

    Although there is a provision for opening an Angadwadi in every village, such a centre is functioning in only two villages. Besides this, in none of the sample village is there any school exclusively for girls. The schools within the village are meant for boys many of which are now converted into co-educational institutions because of increasing intensity of girls students. However, it becomes extremely difficult for girl students to attend middle and higher levels school as there is no girls school of that level available within or in the vicinity of their villages. The non-availability of middle or higher level schools within or in nearby villages is seen as one of the most important factors that discourages girls from attending school in these villages.

    The availability of middle or high schools within or in nearby villages has a direct positive impact on the educational levels of girls. Further, it can be seen from Table 2 that the villages with such facilities have a substantially low level of illiteracy, while a substantially high proportion of girls attending middle or high schools.

    Table 2: Percentage of Girls with Levels of Education

    Villages

    Percentage of girls

    Illiterate or just literate

    Middle and above

    with middle or high schools

    71.69

    17.92

    without middle or high school

    81.48

    9.92

    All

    78.71

    12.19

    The village, which does not have middle or high school facilities within or in nearby villages have substantially higher level of illiteracy and lower proportion of women’s with middle or higher level education.

    In view of the continuously deteriorating quality of education in government schools there has been an up trend is enrolment in private schools in recent years. However, access to private schools also is highly biased in favour of boys with a great deal of regional variations. In fact access to private schools depends on the availability of such school in the villages or in the nearby villages. The proliferation of private schools in the rural areas also is more evidence in districts such as Madhubani, Gopalganj, Rohtas, and Nalanda. Where in these villages enrolment in private schools is more common. Here again the enrolment of boys and girls shows very high variations—the proportion of boys attending private schools in these villages but generally much higher than that of the girls.

    In what kinds of schools are the students enrolled? More than four-fifth of students are enrolled in government and government funded schools (Table 16).

    Distribution of enrolled children by types of schools again shows very wide variation across castes and classes. It all of children from household with land sizes of 20 acres and above study in private schools. But in case of Muslim, a large percentage of girl children go to private school than boys due to presence of private Madrasa schools. However, private unrecognised schools have made substantial inroad in rural Bihar. One-third of school-going children from middle caste like Kurni & Koiri, poor middle peasants and from families with midsize landholding of 2.5—5 acre go to private unrecognised schools. This shows that middle classes who can afford to pay somewhat higher fees or to provide better education to their children.

    Table 16: Percentage Distribution of Type of Schools of Enrolment by Boys and Girls

    Type of School

    Boys

    Girls

    Govt./Govt. aided

    Private

    Informal

    Total

    Govt./Govt. aided

    Private

    Informal

    Total

    Caste

    Brahmin

    81.82

    18.18

    100.00

    84.31

    15.69

    100.00

    Bhumihar

    80.26

    19.74

    100.00

    96.67

    3.33

    100.00

    Backward I

    85.94

    14.06

    100.00

    94.44

    5.56

    100.00

    Yadav

    83.78

    16.22

    100.00

    80.00

    20

    100.00

    Koiri

    34.78

    65.22

    100.00

    52.38

    47.62

    100.00

    Kurmi

    68.75

    31.25

    100.00

    60.00

    40

    100.00

    OBC II

    85.19

    14.81

    100.00

    87.80

    12.2

    100.00

    S.C.

    95.70

    3.23

    1.08

    100.00

    95.24

    4.76

    100.00

    Muslim

    70.59

    27.45

    1.96

    100.00

    61.54

    34.61

    3.85

    100.00

    Class

    0

    ALLF

    89.23

    10.77

    100.00

    89.80

    10.2

    100.00

    PMP

    73.91

    26.09

    100.00

    76.47

    23.53

    100.00

    MP

    83.82

    16.18

    100.00

    82.93

    17.08

    100.00

    BP

    82.24

    16.82

    0.93

    100.00

    86.84

    13.16

    100.00

    Landlord

    68.75

    31.25

    100.00

    80.77

    19.23

    100.00

    NAG

    78.33

    20.00

    1.67

    100.00

    82.35

    17.65

    100.00

    Landsize

    0

    Landless

    87.57

    11.24

    1.18

    100.00

    84.16

    14.85

    0.99

    100.00

    0-1.0

    82.93

    17.07

    100.00

    87.60

    12.4

    100.00

    1.0-2.5

    76.53

    23.47

    100.00

    80.56

    19.45

    100.00

    2.5-5.0

    60.78

    39.21

    100.00

    79.63

    20.37

    100.00

    5.0-10.0

    95.83

    4.17

    100.00

    92.86

    7.14

    100.00

    10.0 & above

    80.00

    20.00

    100.00

    100.00

    0

    100.00

    Total

    81.48

    18.13

    0.39

    100.00

    84.83

    14.91

    0.26

    100.00

    The PRA reports tell a sad story of poor school-infrastructure such as decrepit buildings, irregular teaching, bad connecting roads, dearth of drinking water facility and general unhappiness amongst parents with regard to the educational system in Bihar. On the other hand, though people associate quality education with private schools across the districts it is only the well-off sections that can afford to send their children to these schools. This fact clearly merges from the FGD: 'We have two schools. First one is a government primary school in Ballapur and the other a private academy. Only Bhumihar children go to the latter. Children from all caste groups can be found in the former. In any case very few of our children (Mushar) go to school. We are poor. We can send our children to school, but how can they study when their stomachs are empty'.

    Health Status

    The health status of an individual is influenced by two factors: first, his/her genetic endowment and second, the socio-economic environment in which the individual lives. The PRA report reveals that there is a strong relationship between the health status of the people and the prevailing social economic conditions of the people living in the plains of Bihar. Though, at first glance both the health status of the population as well as the socio-economic conditions, in which the populace lives seem very dismal, people perceive that there has been a health transition in the past twenty years. How far is this true? Essentially, such a transition is said to have occurred when there is a substantial decline in death rates, basically caused by the introduction of public health measures like the provision of clean drinking water, sanitary facilities, and immunisation against fatal diseases, and improved accessibility to curative medical facilities such as hospitals and trained medical personnel. Furthermore, health transition is said to hinge on the increased availability of nutritious food as this is considered to be of primary importance to the health and well being of the population for it is known to provide individuals natural endowment and develop among them an immunity to infectious diseases. And lastly, a slower growth rate of the population, caused by declining birth rates, a vital component for the overall health transition of a society. In the following section an attempt has been made to capture the above mentioned elements which are essential for bringing above the overall health transition.

    Fertility and Mortality

    Here first of all we will take a look at some of the basic indicators of health status of people. Since that for our survey data base does not support calculation of many of the most sensitive indictors of health status such as: age specific fertility and death rates, total fertility rates (TFR), child mortality in different age groups, etc. we have relied upon an overall crude birth rates (CBR), crude death rates (CDR), and infant mortality rate (IMR) for the evaluation of current health status. The CBR and CDR is defined as number of births and deaths respectively per thousand of population. Accordingly, the IMR has been calculated as number of children below age one year died per thousand of children in that age group. These three indicators suggest that the health status of people is not only low but also varies substantially over different castes and classes. The overall crude birth and death rates are 31.72 and 9.79 respectively, while the infant mortality rate is 92. The infant mortality rate is as high as 116 among SCs, 121 among poor middle peasants, and 126 among ladless household (Table 18).

    Table 6.18: CBR, CDR, and IMR over Caste and Class

    CBR

    CDR

    IMR*

    Upper caste

    27.00

    7.60

    80.0

    OBC (II)

    27.64

    7.69

    49.5

    OBC (I)

    36.04

    12.56

    89.5

    SC

    34.61

    10.07

    116.5

    Muslims

    35.85

    10.58

    95.6

    AL

    35.46

    13.44

    107.4

    POOMIDP**

    32.01

    9.80

    121.8

    MIDP

    30.38

    5.03

    80.4

    Bigp

    26.10

    7.66

    52.7

    Landld

    24.05

    5.84

    87.0

    NONAG

    30.13

    8.67

    113.0

    Landless

    35.85

    12.43

    126.2

    Others

    28.92

    6.86

    74.4

    Total

    31.72

    9.79

    92.4

    * based on survey in 36 villages; ** less than 1000 observations

     

    For the purpose of comparison with the 1981-82 data we have calculated percentage of children born who have died (based on the response of ever married women). As the 1982 report notes these are not standard estimates, but since the bulk of child mortality occurs in the first year of life, standardisation is unlikely to much the picture modify. Table 19 presents this estimate of child mortality during the two survey periods.

    Table 19 reveals two important patterns quite clearly: first, a distinct decline in child mortality over that the time of 1981-82 survey and increasing caste and class status; and second, the girls’ death rate is substantially higher in comparison to that of boys. The classwise pattern is somewhat less strong, partly because of the small number of observations in some sub-classes; but the high mortality among agricultural labourers shows up clearly—about 20 per cent for boys and over 30 per cent for girls in 1981-82 and about 21 per cent for boys and over 15 per cent for girls in 1999-00. The relationship between child mortality with caste hierarchy, however, is strong. The decline in the child mortality in the year 1999-2000 in comparison to that in the year 1981-82 is attributed both to improved food security and health facilities over the years.

    Table 19: Percentage of Boys and Girls Died to Ever Married Women by Caste and Class

    1981-82

    1999-2000

    Boys

    Girls

    All

    Boys

    Girls

    All

    Caste

    Upper caste

    16.8

    24.5

    19.9

    11.1

    12.5

    11.7

    OBC I

    12.4

    31.0

    17.4

    13.4

    14.2

    13.6

    OBC II

    14.3

    23.9

    15.9

    11.5

    13.5

    12.2

    SC & ST

    20.5

    33.2

    25.6

    16.2

    14.5

    15.3

    Moslem

    19.8

    13.4

    17.0

    13.2

    15.0

    13.9

    Class

    AL

    17.8

    29.7

    21.7

    16.8

    15.2

    15.9

    POORMIDP

    18.8

    9.7

    14.3

    12.2

    9.1

    10.8

    MIDP

    14.9

    23.3

    16.8

    11.1

    15.2

    13.0

    BIGP

    14.5

    11.9

    13.9

    8.9

    10.9

    9.8

    LANDLORD

    12.4

    23.8

    13.9

    10.5

    14.1

    12.0

    NAG

    15.3

    13.3

    15.3

    12.8

    12.8

    12.6

    Total

    15.6

    25.6

    18.5

    12.3

    14.8

    13.3

    Morbidity

    Our experience in collecting morbidity data from population based demographic sample survey is limited. The main difficulty in collecting such data is the identification of diseases itself. Besides, there are problems of determining the minimum size of sample and those relating to recall and reporting by respondents, seasonal variations, and others. However, in order to understand the general disease profile in sample villages and the magnitude of the health problems faced by villagers, the research team conducted a special session of Focus Group Discussion. In the beginning of the FGD all villagers were appeared to be convinced that they did not have any serious health problem and that their quacks and ojha were able to tackle all their problems. It is only in the case of some chronic diseases that they go to hospitals. The most common diseases reported by the villagers were diarrhoea, dysentery and gastroentritis problems particularly during summer months, asthma and loss of sight particularly among old people, cough and cold particularly in the winter months, fever (including malarial fever and typhoid), headache, skin diseases, chicken pox and measles in children in certain months, weakness particularly in women, jonk (large worms), and a few cases of chronic diseases like TB, kalazar and leprosy. Information collected on types of diseases across regions are shown in Chart 1.

    Chart 1: Diseases Identified and Reported across the Regions

    Types of Diseases

    South Bihar

    North Bihar

    Widely prevalent

    chronic diseases

    TB, Polio, Asthma, Saitika, Gastro-enteritis

    Kalazar, Polio, Asthma, Gastro-enteritis

    General diseases frequently occurring

    Malaria, Fileria, Sunbahri,, Measles

    Malaria, Fileria, Typhoid, Chicken Pox, Measles

    Common diseases

    Cold, Cough, Fever, Diarrhoea and dysentery, fungal and other skin infections

    Cold, Cough, Fever, Diarrhoea and dysentery, various skin diseases, jonk (large worms)

    Problems related to pregnancy

    Anaemia, some problems not exactly identified

    Anaemia, some problems not exactly identified

    The classification of above mentioned diseases into ‘widely prevalent’, ‘general’ and ‘common’ is only arbitrary and is based on villagers perception. The magnitude and intensity of these diseases has not been precisely estimated mainly because of two reasons. First, the identification of the diseases is based on the broad perception of villagers as well as general reporting at village levels, and hence the intensity may be widely affected by recall and perception. Second, social stigma associated with the diseases and the unawareness about them is likely to results grossly underestimating the intensity of diseases. However, the very fact that several persons are reported to have been suffering from diseases such as jaundice, TB, asthma etc. show the possibility of a very high morbidity rate in the region. Moreover, it is clear from the FGD that it is among the lower class households that the prevalence of these diseases is the highest. One of the most vulnerable groups among them is migrant labourers and their families. Since these migrant workers are exposed to different socio-economic and cultural environment they, very frequently, fall prey to various kinds of infectious diseases of which TB and asthma are most common. In a few cases migrant workers have also been reported to be suffering from AIDS.

    Instead of calculating the intensity of morbidity in the sample villages, it may be more appropriate to estimate the proportion of persons reporting any kind of illness and the resultant loss in their workdays as this would be more reliable. Although, the reporting of illness is also not free from error of recall and perception, the extent of bias may be uniform across different social and economic groups of population. As a precautionary measure, we have taken a recall period of six months for reporting illness. Table 20 shows proportion of males and females reporting illness during the last six months preceding the date of survey. However, the average number of workdays lost is related to one year.

    Table 20: Percentage of Persons Reporting Illness and Average Number of Workdays Lost

    Percentage of persons reporting illness

    Average number of days lost because of illness

    Male

    Female

    All

    Male

    Female

    All

    Caste

    Upper caste

    13.10

    16.93

    14.91

    17

    16

    15

    OBC I

    12.61

    21.53

    17.01

    27

    23

    22

    OBC II

    15.35

    18.97

    17.09

    26

    15

    18

    SC

    13.37

    20.48

    16.86

    32

    37

    29

    Moslem

    17.16

    18.56

    17.81

    24

    19

    19

    Class

    AL

    14.59

    21.41

    17.98

    29

    28

    25

    POORMIDP

    12.26

    18.37

    15.20

    32

    34

    28

    MIDP

    13.31

    18.34

    15.75

    27

    17

    17

    BIGP

    12.66

    15.56

    14.04

    25

    18

    20

    LANDLORD

    14.75

    16.35

    15.48

    16

    13

    12

    NAG

    14.62

    23.55

    18.89

    21

    23

    22

    Size of owned land (in acres)

    nil

    14.92

    22.13

    18.41

    27

    30

    26

    up to 1

    13.83

    19.59

    16.66

    24

    15

    16

    1 to 2.5

    16.74

    17.69

    17.18

    19

    22

    18

    2.5 to 5

    10.61

    12.86

    11.68

    28

    14

    18

    5 to 10

    9.77

    14.38

    11.93

    23

    15

    17

    10 & above

    9.34

    7.50

    8.41

    5

    11

    9

    Total

    13.99

    19.06

    16.43

    24

    23

    21

    Table 20 shows that the percentage of persons reporting illness is 16.43, with high variations across sex and caste and class of the households. The percentage of illness is always higher in the case female (19.06) in comparison to that in case of male (13.99). It is also higher in case lower castes and classes. Needless to say that prevalence of illness affects the lower caste and class households the most. And since most of them are casual wage earners, the cost or their illness in terms of loss of working days and hence earnings. It is evident from the table that in case of landless and agricultural labour and poor middle peasant households the loss of workdays is approximately equal to one month.

    Disability

    Like mortality and morbidity, disability of a person is also related to his/her socio-economic background. In order to identify the various types of disability of a permanent nature such as polio effected, blindness, lame, dumb etc. we have identified these types of disability separately from some temporary disability. The proportion of disabled people clearly affects the strong relation with class and land holding pattern of the households. Apart from the very high proportion of disabled person in total population, (16 disabled persons per thousand of persons), the corresponding proportions in case of lowers caste and class households are 20 and above. If we add up temporary disability also the magnitude and variations become more acute. Among the major types of disability those related to legs and eyes/ears (largely polio affected and blindness) are the most common. The variations in disability of a permanent nature, across caste and class essentially shows that the socially deprived section of the society is likely to have more disabled people.

    Table 21: Proportion of Persons Disabled and Percentage Distribution of Types of Disability

    Disable per thousand of persons

    Percentage distribution of permanently disabled persons

    by disability related to

    Permanent

    Temporary

    Legs

    Eyes/ears

    Hands

    mind

    speech

    others

    Caste

    Upper caste

    10

    7

    23.53

    35.29

    11.76

    23.53

    5.88

    0.0

    OBC I

    19

    6

    47.06

    17.65

    11.76

    17.65

    0.00

    5.9

    OBC II

    20

    13

    41.67

    20.83

    12.50

    8.33

    12.50

    4.2

    SC

    19

    12

    34.78

    34.78

    17.39

    0.00

    4.35

    8.7

    Moslem

    15

    3

    22.22

    33.33

    0.00

    11.11

    22.22

    11.1

    Class

    AL

    21

    10

    39.02

    21.95

    17.07

    9.76

    4.88

    7.3

    POORMIDP

    5

    24

    0.00

    100.00

    0.00

    0.00

    0.00

    0.0

    MIDP

    11

    10

    0.00

    71.43

    0.00

    28.57

    0.00

    0.0

    BIGP

    18

    6

    50.00

    18.18

    4.55

    9.09

    13.64

    4.5

    LANDLORD

    8

    6

    0.00

    33.33

    22.22

    22.22

    22.22

    0.0

    NAG

    17

    13

    50.00

    30.00

    10.00

    0.00

    0.00

    10.0

    Size of owned land (in acres)

    nil

    20

    10

    40.91

    25.00

    18.18

    4.55

    2.27

    9.1

    up to 1

    10

    7

    58.82

    23.53

    0.00

    11.76

    0.00

    5.9

    1 to 2.5

    13

    14

    27.27

    45.45

    0.00

    9.09

    18.18

    0.0

    2.5 to 5

    26

    8

    6.25

    31.25

    18.75

    25.00

    18.75

    0.0

    5 to 10

    6

    3

    0.00

    0.00

    0.00

    50.00

    50.00

    0.0

    10 to 20

    0

    0

    0

    0.00

    0

    0

    0

    0

    20 & above

    0

    0

    0

    0.00

    0

    0

    0

    0

    Total

    16

    9

    35.56

    27.78

    12.22

    11.11

    7.78

    5.6

    Access to health facilities

    For the purpose of evaluating of access to basic health facilities, the provision of different health institutions and services such as clinic, PHC and hospitals have been taken into consideration. In order to observe the improvements in the provision of these services, the changes that have taken place over the previous survey have been presented in the following section.

    Table 22 gives the details in regard to the improvement in access to different institutional medical facilities at village level in all the 36 villages surveyed under census survey. This improvements have been calculated crudely in terms of the number of villages having easy or difficult access to these facilities. It can be seen from the change in the number of villages having access to particular institutional medical facilities since time of the old survey.

    Table 22 shows that in comparison to the old survey today a large number of villages have easy access to different types of medical facilities. For example, out of 36 villages surveyed in north and south Bihar plains, as many as 18 villages are now located within 2 k.m from PHC and/or Health Sub-centre while at the time of old survey, only 2 villages were located so close to these facilities.

    Table 22: Number of Villages that have Access to Different Health Facilities.

    Distance and type of approach

    PHC/Sub-centre

    Hospital/ Dispensary

    Private qualified doctor

    Maternity/ Child care centre

    Family planning centre

    Chemist shop

    Old

    survey

    New survey

    Old survey

    New

    survey

    Old survey

    New survey

    Old survey

    New survey

    Old survey

    New survey

    Old survey

    New survey

    Inside village

    2

    15

    0

    1

    1

    1

    1

    0

    0

    0

    1

    6

    Less than 2 Km. (easy access)*

    0

    3

    0

    1

    0

    2

    0

    1

    0

    1

    0

    3

    Less than 2 Km. (some access)**

    6

    8

    3

    2

    4

    3

    4

    2

    4

    2

    7

    3

    Between 2 and 5 kms. (easy access)

    5

    3

    2

    6

    3

    5

    1

    4

    2

    5

    4

    8

    Between 2 and 5 kms. (some access)

    7

    2

    7

    8

    7

    11

    8

    7

    8

    8

    6

    9

    Between 5 and 10 kms. (easy access)

    5

    1

    4

    2

    4

    1

    5

    3

    6

    3

    3

    0

    Between 5 and 10 kms. (some access)

    5

    4

    5

    8

    5

    5

    4

    5

    5

    7

    8

    5

    More than 10 kms. (easy access)

    3

    0

    7

    2

    5

    2

    6

    6

    5

    3

    1

    0

    More than 10 kms. (some access)

    3

    0

    8

    6

    7

    6

    6

    8

    5

    7

    5

    2

    No such facilities

               

    1

     

    1

     

    1

     

    All

    36

    36

    36

    36

    36

    36

    36

    36

    36

    36

    36

    36

    Note: *stands for the villages well connected with pucca road; **stands for villages not connected with pucca road and hence having difficult access particularly during rainy season.

    Now there are very few villages (only 5) that do not have access to primary health care facilities within a distance of 2 km. in comparison to 16 villages at the time of the old survey. As many as 50 per cent of the villages (18) are located within 5 km. from now hospital and dispensary as against only 10 villages at the time of the old survey. However, in the case of some basic health facilities like provisions of mother/child care centres and family planning clinics, the accessibility to these facilities and services has not improved much over that of the time of the old survey.

    It was also observed that, villagers in almost all the villages lamented of the dismal state of curative medical system comprising a PHC and block and district hospitals. In the entire state, with a few exceptions, PHCs are either dysfunctional or ill-equipped. Further, many of the PHCs are devoid of the medical personnel such a doctor, a nurse and a compounder or at best them attendance is irregular. By and large irregular attendance, bad treatment of patient and corruption of medical personnel have been prevalent in almost all the districts with the exception of Maknahain in Purnia district and Kari in Gaya district, where the people praised the existing PHC set-up. Most households prefer to go to private doctors as they feel that these doctor will give them better treatment (Table 23). The poor state of medical services in some of the district is evident from a some of the observations made by villages in these district: "We now have a PHC. But it is never open. We have to travel 10 km to see the private doctor" (Kanaudi, Gaya district)

    "Many times we go to the PHC. There is no doctor there, only one nurse and compounder. They examine us but take money. The private clinic is better" (Khangaon, Madhubani district) "The ANM comes to the village sometimes, but charges Rs. 6/- per injection. She is supposed to give it free of cost." (Jitwarpur, Purnea district)

    A look at the PRA reports it clearly shows that the access to medical facilities is poorest in Purnea district and best in Rohtas district. Many people said that they were able to access medical facilities within a radius of 2-5 km in the latter districts while it extended to 10-15 km in the former. They attributed the poor accessibly of medical service in the former district; to both, the bad road infrastructure which implies longer duration in transport and the greater number of dysfunctional PHCs in the rural areas in comparison to Rohtas district. However, at this point it is important to remember that many villages or at least many Tolas in the districts of Gaya and Nalanda are also completely cut-off during the monsoons, when, with the exception of a few villages across the plains, people resort to local faith healers, ojhas and spiritual advisers. In 26 of the 36 villages covered in this study, people openly admitted their dependence on ojhas, quacks and faith healers indicating the paucity of timely medical help.

    Access to free/cheap government health facilities is one of the important indicators of the level of living. The PRA exercise reveals a dismal picture of the state of curative medical facilities comprising PHC, block and district hospitals. Throughout the state, with a few exceptions, PHCs are either dysfunctional or ill equipped.

    Table 23: Percentage Distribution of Persons by Types of Treatment

    Types of treatment

    Govt.

    Private

    Total

    Caste

    Brahmin

    12.10

    87.90

    100.00

    Bhumihar

    4.95

    95.05

    100.00

    Backward I

    6.67

    93.33

    100.00

    Yadav

    6.00

    94.00

    100.00

    Koiri

    10.00

    90.00

    100.00

    Kurmi

    6.90

    93.10

    100.00

    OBC II

    10.64

    89.36

    100.00

    S.C.

    8.72

    91.28

    100.00

    Muslim

    7.77

    92.23

    100.00

    Class

    AL

    9.95

    90.05

    100.00

    PMP

    12.90

    87.10

    100.00

    MP

    8.51

    91.49

    100.00

    BP

    5.95

    94.05

    100.00

    Landlord

    9.88

    90.12

    100.00

    NAG

    12.04

    87.96

    100.00

    Owned Land (in acre.)

    Landless

    9.71

    90.29

    100.00

    0-1.0

    7.43

    92.57

    100.00

    1.0-2.5

    5.67

    94.33

    100.00

    2.5-5.0

    15.28

    84.72

    100.00

    5.0-10.0

    2.56

    97.44

    100.00

    10.0 & above

    100.00

    100.00

    Total

    8.47

    91.53

    100.00

    Further, many of the PHCs are devoid of the personnel comprise the doctor, nurse and compounder or at best are irregularly attended by them. Irregular attendance, bad treatment and corruption of medical personnel is almost universal. Most households prefer to go to private doctors as they feel that there they will get better treatment (Table 23).

    Now the question is why people non-government sources more than government sources. In more than half of cases people cite reliability as reason. Other two major reasons are quick service and easy reach. Not much variation is observed across caste and class. However, in district of Gaya and Purnea where higher proportion of people go to untrained sources the easy reach consideration is also significantly higher.

    Table 24: Percentage Distribution of Reasons for Choosing Non- Governmental Treatment

    Reason for Choosing Non-Govt. Treatment

    Reliable

    Quick Service

    Easy Reach

    Others

    Total

    Caste

    Brahmin

    58.57

    16.43

    15.00

    10.00

    100.00

    Bhumihar

    70.83

    20.83

    5.21

    3.13

    100.00

    Backward I

    56.03

    18.44

    17.02

    8.51

    100.00

    Yadav

    78.72

    12.77

    8.51

    100.00

    Koiri

    40.74

    14.81

    37.04

    7.41

    100.00

    Kurmi

    87.50

    4.17

    4.17

    4.17

    100.00

    OBC II

    67.06

    14.12

    15.29

    3.53

    100.00

    S.C.

    49.21

    13.09

    28.27

    9.42

    100.00

    Muslim

    48.45

    15.46

    27.84

    8.25

    100.00

    Class

    AL

    44.74

    16.32

    30.00

    8.95

    100.00

    PMP

    66.67

    14.81

    7.41

    11.11

    100.00

    MP

    76.92

    15.38

    6.59

    1.10

    100.00

    BP

    69.23

    17.95

    9.62

    3.21

    100.00

    Landlord

    63.51

    14.19

    16.89

    5.41

    100.00

    NAG

    57.29

    14.58

    16.67

    11.46

    100.00

    Owned Land (in acre.)

    Landless

    49.58

    16.16

    25.35

    8.91

    100.00

    0-1.0

    58.57

    16.73

    17.13

    7.57

    100.00

    1.0-2.5

    70.99

    9.92

    14.50

    4.58

    100.00

    2.5-5.0

    66.13

    24.19

    3.23

    6.45

    100.00

    5.0-10.0

    78.95

    10.53

    10.53

    100.00

    10.0 & above

    100.00

    100.00

    Total

    58.49

    15.57

    18.75

    7.19

    100.00

    Such correlation is also seen in cases of certain caste and class who are availing untrained sources. It seems for these sections of rural populace let alone government facilities even qualified private sources are not within easy reach. On the other hand, landsize group of 10 acre and above who go to private sources only also reports reliability being the only reason. However, the positive interrelationship between trained private doctor & nurses and reliability being the prominent reason is clear only in case of landsize category but not across caste and class.

    Table 25: Percentage Distribution across Source of Funding for Medical Expense

    Source of Funding

    Family Savings

    Selling Landed Property

    Mortgaging Landed Property

    Loan from Friends & relatives

    On Interest

    Others

    Not Mentioned

    Total

    Caste

    Brahmin

    68.59

    1.92

    9.62

    17.95

    1.28

    0.64

    100.00

    Bhumihar

    73.74

    1.01

    2.02

    5.05

    18.18

    100.00

    Backward I

    79.33

    1.33

    5.33

    10.00

    1.33

    2.67

    100.00

    Yadav

    92.00

    8.00

    100.00

    Koiri

    73.33

    6.67

    16.67

    3.33

    100.00

    Kurmi

    93.10

    6.90

    100.00

    OBC II

    72.34

    1.06

    11.70

    10.64

    4.26

    100.00

    S.C.

    65.99

    0.51

    0.51

    12.18

    19.29

    1.52

    100.00

    Muslim

    64.08

    0.97

    0.97

    8.74

    24.27

    0.97

    100.00

    Class

    AL

    65.35

    0.50

    0.99

    12.87

    18.32

    0.99

    0.99

    100.00

    PMP

    90.32

    6.45

    3.23

    100.00

    MP

    85.11

    2.13

    11.70

    1.06

    100.00

    BP

    77.38

    1.79

    4.76

    12.50

    0.60

    2.98

    100.00

    Landlord

    79.87

    1.89

    4.40

    11.95

    1.89

    100.00

    NAG

    59.63

    0.92

    0.92

    9.17

    26.61

    2.75

    100.00

    Owned Land (in acre.)

    Landless

    66.06

    0.52

    0.52

    11.23

    19.58

    1.57

    0.52

    100.00

    0-1.0

    71.54

    0.37

    1.50

    7.49

    16.85

    0.37

    1.87

    100.00

    1.0-2.5

    77.86

    1.43

    4.29

    13.57

    0.71

    2.14

    100.00

    2.5-5.0

    84.72

    2.78

    4.17

    8.33

    100.00

    5.0-10.0

    94.87

    5.13

    100.00

    10.0 & above

    100.00

    100.00

    Rohtas

    88.55

    5.34

    6.11

    100.00

    Total

    72.47

    0.33

    1.10

    8.15

    15.97

    0.88

    1.10

    100.00

    Since most of the people go to non-government facility which are in general more expensive than government facilities, how do they manage to bear the expenses? Occurrence of distress selling and mortgaging of landed property is much less but still in one-fourth of cases they either take loan from friends and relatives or take loan on interest. Rest three-fourth of cases they virtually manage it from own savings. Taking loan for health expenditure is spread out across all castes and classes. The trend of managing health expenditure from own saving shows a clear upward trend only across landsize categories.

    Immunisation

    Both the central and Bihar governments have repeatedly reiterated their commitment to the eradication of a few fatal diseases. Accordingly, phased programme of free immunisation has been chalked out for all children mainly during the first year (the programme actually covers children up to the age of 10 years) and for pregnant mothers, both immunisation as well as iron supplements are provided under the programme. However, the ground level reality is very different from the goals proclaimed by the state.

    The PRA report reveals that across the districts, irrespective of caste and class, the pulse polio campaign has been a major success. In every single village, at least two pulse polio camps have been held in the year preceding the data collection at an accessible distance – (within a 2 km radius). All parents are aware of the need to administer this vaccine to their children and the community has been sufficiently motivated to encourage its citizens to give the polio drops. Very few cases of polio were reported among children below the age group of 2 years. Though, it is difficult to give accurate numbers based on the PRA data, about 4 SC children between the age of 5 and 7 years have succumbed to polio in the 36 villages and about 50 children in that age group all over the plains seem to be afflicted with this disease.

    A majority of the households do not give the other vaccines to their children. Most of the poor and lower caste households, either said that they are unaware of the other vaccines, or that they are aware, but had not further immunised their children. Irrespective of the district, only a few rich and upper caste households gave their children the prescribed immunisation. This may be attributed to a) the apathy of the state in conducting children immunisation programmes among the poor and b) dysfunctional PHCs and government hospitals where the vaccines are given in many places. In following statement by the parents of children who were given polio drops.

    "We all took our children to give the polio drops. We also want our children to be well. But, we cannot give the other tikas (vaccines) and khuraks (drops). The doctor takes money for that. Only the Bhuswamis (landlords) give it to their children".(Chakchatar, Rohtas district).

    However, a relatively larger proportion of the households in Rohtas and Gopalganj has given the prescribed vaccinations to their children. Purnea and Madhubani have the lowest percentage of immunised children. The proportion of women taking tetanus injections and iron supplements is even lower. Here too, only women from very rich and ‘enlightened’ households go for check-up during pregnancy. Most of the women deliver at home with the help of traditional midwives called either dagreens, chamains or dais depending on the district. These women are not trained and have traditionally been assisting women during pregnancy. As a result, neither is the women advised or given vaccines during pregnancy, nor are the children given the prescribed BCG vaccine at birth. Only the very rich who either have transport facility or have a residence in the block / district headquarter are able to reach the hospital at the time of delivery and it is only these women who take the prescribed injections and supplements. A majority of the women have no access to any medical facility and are dependent on the local midwives.

    Other Basic Amenities

    Besides income poverty, measured in terms of income and consumption expenditure, food security, educational and health status of people some basic amenities available at the village level are also important indicators of human development. In the following section we will try to examine some of the basic civic amenities available at village as well as household levels. The availability of the two most important amenities, viz. ‘safe drinking water’ and ‘sanitation’ is discussed below.

    Safe Drinking water

    Irrespective of the district, caste and class, people perceive that there has been a virtual revolution as far as accessibility to drinking water facilities is concerned. this can be mainly attributed to the presence of hand pumps, both public as well as private in all the villages. However, there are sizeable inter-district and caste-class based variations in the availability and accessibility of potable water.

    Table 26 shows that during the period between the two surveys, there has been a substantial increase in the number of hand pumps and a drastic reduction in the use of wells –both, the traditional open and tube wells. As a result approximately 90 per cent of the households in our sample villages now have access to safe drinking water as against approximately 60 per cent earlier. In Madhubani and Rohtas almost all the households reported that they access either hand pumps or tube wells for drinking water. The maximum change in terms of household access to hand pumps and tube wells has been witnessed in Gaya, follwed by Rohtas and Purnea. On the other hand, the highest percentage of households which still access to hand pumps/tube wells for drinking water is found in Purnea (90.08), followed by Gopalganj (81.30%) and Nalanda (66.83%).

    Table 26: Percentage of Households Having Access to Safe Drinking Water

    Old Survey

    New Survey

    Wells

    Tube-wells/ Hand pumps

    Wells

    Tube-wells/ Hand pumps

    District

    Gaya

    69.12

    31.36

    29.33

    93.42

    Gopalganj

    40.05

    70.07

    38.70

    81.30

    Madhubani

    17.97

    87.73

    1.85

    100.00

    Nalanda

    69.60

    33.23

    25.77

    66.83

    Purnea

    22.28

    63.83

    14.34

    90.08

    Rohtas

    53.32

    64.13

    11.08

    95.77

    Total

    39.63

    62.04

    20.81

    87.57

    It is now well known that the greater use of potable water limits the spread of infectious water borne diseases such as Cholera, typhoid etc. Districtwise, the presence of these amenities in Purnea and Madhubani can be directly linked to lower reporting of diseases in these districts.

    There seems to be a strong correlation between the caste-class of a household and the accessibility to drinking water across all districts. The social mapping exercise revealed that the wells and hand pumps provided by the state, are insufficient in number and as a result in many of the villages, people complained of difficulties in accessing potable water. In some, the overall well/hand pump to household ratio is grossly inadequate. This is exemplified in village Maknaha, Purnea district, where 40 households share a single drinking water source. On the other hand, in other villages such as Kanaudi, Gaya district, only lower caste Tolas face an ever more crisis. In fact, the situation in this village is so bad, that the Mushars have to drink water from the stream in the forest as the well in their Tola is dry and the prevailing caste tensions prevents them from taking water from the main Yadav Tolas.

    In view of the prestige associated with getting a hand pump in one’s locality there is competition between various Tolas, and as can be seen in the social maps, in almost all the villages the settlement pattern in the Tolas is caste-centric. There is a general feeling amongst lower caste households that as the better-endowed, upper caste have better access to bureaucratic and political decision-makers, they are able to corner the largest number of hand pumps and wells in their locality. On the other hand, in the discussions among the upper castes, it was generally felt that the state’s supply of drinking water was grossly inadequate due to which they were forced to make their own private arrangements. The hardship faced by these castes is clearly evident from the statement of one of these households from these castes. "The government gave us 3 hand pumps some time back. But today, not even single one works. We get our water from a well near Chatti Tola. We have to walk through the fields to get water. Who will give us drinking water?" (Mushar, Kari, Gaya district)

    Due to the high caste-class correlation in the plains of Bihar, considering that the upper caste people have cornered most of the drinking water sources, it is but natural that the upper class households have a much greater access to potable water. However, it is important to note that most of them have private water sources by way of either hand pumps or wells. The wealth ranking exercise revealed that ownership of a hand pump is considered as an asset. However, there are clear regional difference in terms of provision of hand pumps—the number of many more, middle income households, in Purnea and Madhubani who have access to handpumps for exceed those in other districts. However, a large number of these hand pumps are shared community pumps. For example, in Belabadan of Purnea district, 6 private hand pumps are shared between the 20 Dhuniya and 18 Churihara households inhabiting the mixed Bela Bishunpur Tola. Not only is the water shared amongst the resident households, but the maintenance cost is also divided among the user-households. In other words, hand pumps and other the private drinking water facilities in districts of Rohtas and Gopalganj are more likely to be owned by individuals. On the other hand, a large proportion of hand pumps in Purnea and Madhubani are likely to be shared amongst resident households.

    Dearth of Sanitary facilities

    The importance of clean sanitary facilities has also been emphasised in various public health related literatures. However, in Bihar the sanitary scenario is dismal. Most people, as in the past still, defecate in the open and are thus prone to infections. Though, there has been an increase in the absolute number of sanitary facilities, these are still insignificant as a proportion of the total number of households in the villages. Here too, like in the case of access to drinking water source, there are inter-district variations -- the overall number of safe sanitary amenities are much fewer in number and in proportion to the village population.

    In contrast to the access to drinking water sources, the sanitary facilities are available in greater numbers in the economically better-off districts of Rohtas, Nalanda and Gopalganj and is almost non-existent in the relatively poorer districts of Purnea and Madhubani (Table 27). In fact, in only a few villages, do we see double-digit figures for the presence of sanitary facilities. This implies that most of the population has to defecate in the open and the problem is further compounded during monsoons, when a large number of villages are either flooded or at the very least very wet. This is exemplified in Alalpur-Bishunpur, Gaya district where the whole Bishunpur Tola is cut-off during the monsoons and people find it difficult to find a dry place for defecation. In many others district, like Jitwarpur, Purnea district, Bhokila, Nalanda district, due to caste-specific tensions the lower caste mainly Mushar and Chamar women are forced to walk great distances to defecate. The wealth-ranking exercise revealed that ownership of a sanitary facility is considered as an asset and that only the very rich landlords in the villages have private sanitary facilities.

    Table 27: Percentage of Households with any Type of Toilet Facility within House

    Districts

    Old Survey

    New Survey

    Gaya

    4.68

    3.83

    Gopalganj

    0.89

    8.11

    Madhubani

    2.55

    5.65

    Nalanda

    5.83

    13.36

    Purnea

    1.53

    1.24

    Rohtas

    4.30

    9.13

    Total

    3.82

    6.04

    Access to basic amenities of households are also presented in terms of average number of persons per room, irrespective of whether the house is electrified, has its own tube-well & toilet facility, and the uses modern cooking facility. In terms of overall level of living, Brahmin, Bhumihar and Kurmi, among class big peasants and landlords and among landsize group (5 acre and above) have access to better basic facilities. However, among them Kurmi caste, landlord class and landsize group of 10-20 acre are the best in terms of access to having basic amenities. In contrast, households belonging to scheduled caste and agricultural labour households are the worst in this respect. These households have large number of persons per room, no electricity, toilet and modern cooking facility; and what is worse two-third of them do not own tube-well as a source of drinking water. Across landsize groups, basic facilities as well as public utilities shows a smooth upward trend which is not so clearly observed in case of caste and classes.

    Table 28: Percentage Distribution of Household having Facility

    Average Number of

    Persons per Room

    Have Electricity

    Facility

    Own Tubewell

    Facility

    Own Toilet

    Facility

    Modern Cooking

    Facility

    Caste

    Brahmin

    2.44

    13.86

    94.58

    16.27

    1.2

    Bhumihar

    2.89

    5.68

    86.36

    28.41

    3.41

    Backward I

    2.79

    2.58

    63.23

    2.58

    Yadav

    2.86

    73.08

    3.85

    Koiri

    2.41

    20

    90

    10

    Kurmi

    1.79

    10.71

    82.14

    28.57

    10.71

    OBC II

    2.78

    4.17

    70.83

    9.72

    1.39

    S.C.

    3.18

    0.5

    37.31

    Muslim

    3.22

    7.07

    79.8

    10.1

    3.03

    Class

    AL

    3.26

    0.48

    47.12

    5.56

    PMP

    3.21

    74.07

    MP

    2.64

    4.3

    72.04

    5.38

    BP

    2.36

    12.27

    93.25

    21.47

    1.84

    Landlord

    2.40

    9.32

    90.68

    24.84

    5.59

    NAG

    3.11

    7.34

    66.06

    3.67

    Land

    Landless

    3.19

    2.63

    54.74

    1.32

    0-1.0

    2.82

    8.65

    73.31

    6.39

    1.13

    1.0-2.5

    2.43

    7.56

    89.08

    16.81

    4.2

    2.5-5.0

    2.32

    5.19

    89.61

    29.87

    2.6

    5.0-10.0

    2.07

    10.81

    94.59

    40.54

    2.7

    10.0-20.0

    1.44

    11.11

    88.89

    44.44

    11.11

    20+

    1.09

    33.33

    100

    66.67

    Total

    2.83

    5.84

    70.03

    9.65

    1.35

    Not much differentiation is observed in the use of cooking medium. However, today almost all households use wood, grass or opla (dung cake) to cook food. While some instances of kerosene/gobar gas are found in some sections of better off households. A very minuscule section also uses LPG in two districts of Madhubani and Nalanda. They belong to Bhumihar and Kurmi households belonging to the landlord class.

     

     

    V

    Summing up

    To recapitulate we have seen that poverty in Bihar shows a multi dimensional contrasts. One the one hand it is associated with social characteristic, such as caste and class of the households, on the other it is related to human development indicators such as access to educational and health facilities. There is no doubt that over the years food sufficiency has improved in general, there is still a large variations in terms of consumption of food items across different castes and classes of the households. The crude poverty ratio in terms of consumption expenditure is around 46 per cent in rural Bihar, however, there is a large concentration of poor among agricultural labour and lower castes households. Seeing the distribution of poverty ratio across different consumption expenditure groups, it is evident that the inequality in terms of poverty has increased over the years. The asset holding position of the households also leads to same kind of conclusion. More specifically, holding of productive assets among the poorest class, largely comprised of lower classes and caste groups, is abysmally low showing very little scope for reproductive investment among these groups.

    Various indicators of human development show improvement over the years. During the last two decades or so the levels of education, health facilities, mobility, mortality, basic amenities etc. have improved. However, these indicators are still at very low level in general and at abysmally low levels in case of lower castes and class households. Among the reasons of the slow progress of these indicators the most important is poor functioning of the government institutions. Poor functioning of government institutions is clearly spelt out particularly in terms of educational and health institution we have seen above that, because of low quality of education and irregularity of teachers in government schools, most of the people prefer to enroll their children in private schools. Likewise poor health related facilities from government run PHC and health sub-centres at village level has compelled the villagers to rely upon private doctors, local RMP, quacks, etc.

    Among some of the basic amenities provision of rural drinking water has shown virtual revolution particularly during the last two decades. Now almost the whole population is covered under rural drinking water programmes. However, there is acute problem related to non-functioning of government tube-wells and hand pumps. The poor or even non-maintenance of tube-wells and hand pumps in rural areas is gradually compelling people to depend on open sources of drinking water. Sanitation facilities in villages continue to be abysmally poor and there has been absolutely no change over the years except in case of a few richer households.

    The poverty and human development situation in rural Bihar needs more focussed programmes in order to benefit the poorest section of the society. Seeing the high level of inequality of income, consumption expenditure, asset holding position, access to social institutions and basic amenities etc. This is an urgent need to reorient and target many of the government programmes towards the poorest section.