Skip to main content

Table 3 Multilevel linear and logistic regression estimates for the association of household occupational group with per capita calorie consumption per day per household and having insufficient caloric intake in rural and urban India, National Sample Survey, 2011–2012

From: Why market orientation matters for agriculture and fishery workers? Unravelling the association between households’ occupational background and caloric deprivation in India

Household occupational groups (NCO)

Calorie Consumption per Capita per Household

Households having insufficient caloric intake

Rural

Urban

Rural

Urban

Coef

SE

Coef

SE

AOR

95% CI

AOR

95% CI

Agricultural, fishery & related labourers

ref

ref

ref

ref

Legislators & senior officials

277.3***

88.4

185.0***

54.8

0.56*

[0.29; 1.09]

0.50*

[0.24; 1.06]

Corporate managers

26.8

17.9

63.7**

30.9

0.94

[0.80; 1.12]

0.91

[0.69; 1.20]

General managers

91.1

94.4

303.4***

79.7

1.36

[0.46; 4.00]

0.50

[0.20; 1.21]

Science professionals

109.3

73.3

200.4***

32.2

0.58*

[0.31; 1.07]

0.79

[0.50; 1.24]

Life science & health professionals

178.4**

86.1

299.2***

35.6

0.90

[0.53; 1.53]

0.33**

[0.13; 0.81]

Teaching professionals

16.8

38.2

110.5***

28.9

1.06

[0.81; 1.39]

0.68*

[0.45; 1.03]

Other professionals

6.7

24.1

39.5

26.8

0.91

[0.72; 1.16]

1.16

[0.88; 1.55]

Science associate professionals

7.8

72.8

87.8*

52.1

0.95

[0.57; 1.58]

0.71

[0.41; 1.22]

Life science & health associate professionals

66.9

55.9

72.4*

43.8

0.74

[0.43; 1.29]

0.92

[0.60; 1.41]

Teaching associate professionals

33.3

24.6

75.7**

31.9

0.96

[0.78; 1.17]

1.03

[0.71; 1.49]

Other associate professionals

60.3*

35.3

85.2**

33.1

0.81

[0.60; 1.08]

0.95

[0.70; 1.29]

Office clerks

54.1

36.2

97.0**

47.5

0.77*

[0.57; 1.03]

1.03

[0.74; 1.44]

Customer services clerks

−74.4

66.9

49.9

42.2

1.08

[0.48; 2.42]

0.99

[0.59; 1.67]

Personal & protective service workers

21.3

25.2

55.1

35.6

1.00

[0.80; 1.25]

0.99

[0.71; 1.38]

Models, sales persons & demonstrators

1.8

26.9

10.9

32.0

1.08

[0.91; 1.28]

1.11

[0.83; 1.49]

Market oriented skilled agricultural & fishery workers

122.2***

19.2

137.4***

29.0

0.72***

[0.63; 0.82]

0.72***

[0.59; 0.86]

Subsistence agricultural & fishery workers

3.4

31.9

29.6

35.4

1.10

[0.80; 1.52]

0.97

[0.42; 2.20]

Extraction & building trades workers

−3.8

19.7

8.8

26.3

1.02

[0.86; 1.21]

1.01

[0.78; 1.31]

Metal, machinery & related trades workers

10.4

30.3

20.7

33.1

1.03

[0.84; 1.27]

1.13

[0.80; 1.62]

Precision, handicraft, printing & related trades workers

−63.5

45.0

−23.2

59.0

1.40

[0.87; 2.26]

1.21

[0.89; 1.66]

Other craft & related trades workers

−15.4

27.0

43.1

34.2

1.08

[0.90; 1.30]

0.87

[0.63; 1.22]

Stationary plant & related operators

−0.5

40.7

31.1

40.7

0.93

[0.54; 1.60]

1.10

[0.71; 1.71]

Machine operators & assemblers

38.1

39.2

51.5**

25.5

0.94

[0.68; 1.30]

0.99

[0.74; 1.33]

Drivers & mobile-plant operators

21.9

38.4

−0.2

31.1

0.90

[0.70; 1.17]

1.12

[0.83; 1.51]

Sales & services elementary occupations

−3.5

27.0

−19.8

29.6

0.98

[0.80; 1.21]

1.35**

[1.04; 1.75]

Mining, construction, manufacturing & transport labourers

−6.2

18.9

25.1

28.2

1.11

[0.94; 1.30]

1.03

[0.83; 1.28]

  1. Notes: The models are adjusted for age and sex of household head, household size, education of household head, religion, social group, wealth quintile, sampling weights and standard errors clustered at the district and state level
  2. AOR Adjusted Odds Ratio
  3. * p < 0.05, ** p < 0.01, *** p < 0.001