Population Size and Composition of Sample Households




(1)
Institute of Economic Growth, Delhi University, Delhi, India

 



Abstract

Characteristically, perhaps there may not be too many commonalities to make the three underlying states—UP, Rajasthan and Delhi—mutually comparable. Among the few that make them to a certain extent comparable is that each of these states belongs mostly to the northern belt of the country and they largely remain monolingual with Hindi as the dominant language of daily usage. In most other cases, all the three states are mutually far apart with Delhi being the smallest in terms of population size and UP the largest. Compared to UP and Rajasthan, Delhi provides much better socio-economic opportunities to its residents and has a considerably higher per capita income with better access to medical and public health-care services. These interstate differences are expected to embody the socio-economic and health conditions of individuals and households described in the rest of this or in subsequent chapters.


Characteristically, perhaps there may not be too many commonalities to make the three underlying states—UP, Rajasthan and Delhi—mutually comparable. Among the few that make them to a certain extent comparable is that each of these states belongs mostly to the northern belt of the country and they largely remain monolingual with Hindi as the dominant language of daily usage. In most other cases, all the three states are mutually far apart with Delhi being the smallest in terms of population size and UP the largest. Compared to UP and Rajasthan, Delhi provides much better socio-economic opportunities to its residents and has a considerably higher per capita income with better access to medical and public health-care services. These interstate differences are expected to embody the socio-economic and health conditions of individuals and households described in the rest of this or in subsequent chapters.


2.1 Sample Households and Composition of Sample Population


Distribution of households in all the three states and their respective districts is given in Table 2.1. Three locational categories of households have been analysed in the rest of the analysis for their OOP spending on diseases with or without inpatient care. These are, as noted earlier, a total of 1,250 rural and 400 urban households from UP and Rajasthan and 360 households from Delhi. Delhi households were further broken into slums and non-slums with the latter numbering 258 and the remaining 102 were drawn from the identified slums. In all, rural households constituted over 62 % of the total sample while the rest came from slums and non-slums of the urban locations.


Table 2.1
Distribution of sample households by three reference states and districts



































































































































Sample districts and states

Rural

Urban

No. of villages

No. of HHDs

No. of urban wards

No. of HHDs

Unnao

9

450

3

150

Jhansi

6

300

2

100

1. UP

15

750

5

250

Dausa

5

250

1

 50

Dungarpur

5

250

2

100

2. Rajasthan

10

500

3

150
 
Slums

Non-slums

Total HHDs

West Delhi



17

37

54

Central Delhi



5

12

17

South Delhi



25

47

72

East Delhi



18

28

46

New Delhi



1

3

4

North-West



15

52

67

North Delhi



6

14

20

South-West



1

33

34

North-East



14

32

46

3. Delhi



102

258

360

Population size, sex and religious composition of the households covered in the study are provided in Table 2.2. While all other distributions in this table are on expected lines, the share of women in the sample of all the four districts in UP and Rajasthan is smaller—implying more men in many of the sample households than women. The slum households of Delhi are however the only exception where women constitute over 52 % of the sample. In a situation of growing male migration, these results may look somewhat arbitrary. They however match fairly closely with the Census figures for 2001.


Table 2.2
Size and religious composition of sample households


















































































































































































































States/districts

No. of HHDs

Size and sex composition of sample population

Average HHD size

Religion-wise distribution of sample population (%)

Persons

Male

Female

Hindu

Muslim

Sikh

Christian

Others

Unnao

600

3,436

53.3

46.7

5.7

92.17

7.67

0.00

0.17

0.00

Rural

450

2,635

53.2

46.8

5.9

91.56

8.44

0.00

0.00

0.00

Urban

150

801

53.8

46.2

5.3

94.00

5.33

0.00

0.00

0.00

Jhansi

400

2,167

52.6

47.4

5.4

83.00

16.75

0.25

0.00

0.00

Rural

300

1,601

52.5

47.5

5.3

84.67

15.33

0.00

0.00

0.00

Urban

100

566

52.8

47.2

5.7

78.00

21.00

1.00

0.00

0.00

UP

1,000

5,603

53.0

47.0

5.6

 88.5

11.3

0.10

0.10

0.00

Dausa

300

1,704

52.7

47.3

5.7

91.67

8.33

0.00

0.00

0.00

Rural

250

1,394

52.8

47.2

5.6

94.80

5.20

0.00

0.00

0.00

Urban

50

310

52.3

47.7

6.2

76.00

24.00

0.00

0.00

0.00

D. Pur

350

1,819

52.4

47.6

5.2

92.00

3.71

0.00

0.00

4.29

Rural

250

1,311

52.3

47.7

5.2

99.60

0.40

0.00

0.00

0.00

Urban

100

508

52.8

47.2

5.1

73.00

12.00

0.00

0.00

15.00

Rajasthan

650

3,523

52.6

47.4

5.4

92.00

3.71

0.00

0.00

4.29

Slum

102

569

47.5

52.5

5.6

74.50

24.50

0.00

1.00

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Nov 25, 2016 | Posted by in PHARMACY | Comments Off on Population Size and Composition of Sample Households

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