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Table 1 Number of primary survey clusters per district, per method, in increasing order of district area (km2) in 2000 and 2004

From: Obtaining district-level health estimates using geographically masked location from Demographic and Health Survey data

District

Malawi 2000 DHS

Malawi 2004 DHS

District Area (km2)

Method A*

Method B

Method C

Method A*

Method B

Method C

Validation

Chiradzulu

24

14

12

18

12

11

11

767

Phalombe

12

9

9

17

10

10

10

1394

Ntchisi

9

5

7

9

7

7

7

1655

Thyolo

43

32

33

48

33

36

36

1715

Nsanje

9

8

8

12

7

8

8

1942

Blantyre

43

35

36

46

36

36

36

2012

Mulanje

49

37

36

50

33

36

36

2056

Balaka

21

12

13

19

13

11

11

2193

Salima

37

32

36

36

32

35

35

2196

Mwanza

8

4

6

9

6

6

6

2259

Zomba

47

38

37

47

37

36

36

2541

Dowa

27

21

18

23

18

16

16

3041

Karonga

36

31

7

9

5

7

7

3355

Mchinji

18

14

15

16

15

13

13

3356

Ntcheu

21

16

14

18

13

15

15

3424

Dedza

26

24

22

26

22

20

20

3624

Machinga

31

34

34

40

34

36

36

3771

Nkhata Bay

11

8

6

8

5

6

6

4071

Nkhotakota

13

8

6

14

5

8

8

4259

Chitipa

5

5

5

5

5

5

5

4288

Chikwawa

17

16

16

21

16

14

14

4755

Rumphi

7

5

4

5

4

4

4

4769

Lilongwe

41

35

33

48

33

36

36

6159

Mangochi

40

36

36

44

33

36

36

6273

Kasungu

40

35

33

41

33

36

36

7878

Mzimba

41

36

37

39

37

36

36

10,430

  1. *Method A accounts for survey clusters per district using two columns: a survey cluster’s maximum displacement area may be entirely within a district’s boundaries, or, a survey cluster may have more than one possible district of origin, in which case partial survey clusters are counted