The sampling frame is the tool used to include a representative selection of communities (clusters) from within the project area.
Step 1: Population data
The sampling frame is constructed with population data from the project area. All communities are listed in alphabetical order, and population figures are added.
Example: Population data
| Region | Subregion | Village |
Population
|
Cumulative
Population
|
Cluster
|
| DINGUIRAYE | |||||
|
|
BANORA | ||||
|
1 |
Banora |
590 |
|||
|
2 |
Boubéré |
1638 |
|||
|
3 |
Boukaria |
481 |
|||
|
4 |
Diarendji |
1195 |
|||
|
5 |
Kolla |
894 |
|||
|
6 |
Loppé Sountoun |
1131 |
|||
|
7 |
Matagania |
2499 |
|||
|
8 |
M'Bonet |
1094 |
|||
|
9 |
Nafadji |
1526 |
|||
|
10 |
N'Baloufara |
460 |
|||
|
11 |
Sénéma Tombo |
456 |
|||
|
|
DIALAKORO | ||||
|
12 |
Dar es Salam |
950 |
|||
|
13 |
Dialakoro |
3900 |
|||
|
14 |
Fello Lamou |
888 |
|||
|
15 |
Mossoko |
1077 |
|||
|
16 |
Watagala |
1194 |
|||
|
|
DIATIFERE | ||||
|
17 |
Dabatou |
1082 |
|||
|
18 |
Diatiféré |
2283 |
|||
|
19 |
Fadougou |
855 |
|||
|
20 |
Faméré |
1016 |
|||
|
21 |
Fandanda |
1180 |
|||
|
22 |
Mamoudouya |
1993 |
|||
|
23 |
Nanako |
1367 |
|||
|
24 |
Soubékindi |
1016 |
|||
|
25 |
Sourou |
1320 |
|||
|
26 |
Syllaya |
849 |
|||
|
27 |
Wonson |
1549 |
|||
|
|
DINGUIRAYE | ||||
|
28 |
Balagnoumaya |
1403 |
|||
|
29 |
Dinguiraye Ville |
9016 |
|||
|
30 |
Héleyabhé |
1612 |
|||
|
31 |
Kambam Halledé |
674 |
|||
|
32 |
Kambam Sabhé |
613 |
|||
|
33 |
Kebali |
1917 |
|||
|
34 |
Kouby Leyséré |
491 |
|||
|
35 |
Koumbia Ley Fello |
1281 |
|||
|
36 |
Lankon |
690 |
|||
|
37 |
Paridji |
796 |
|||
|
38 |
Parawol Diagul |
1029 |
|||
|
39 |
Sébékoro |
1677 |
|||
|
40 |
Tinkisso |
776 |
|||
|
|
GAGNAKALY | ||||
|
41 |
Bagui |
1117 |
|||
|
42 |
Béléya |
571 |
|||
|
43 |
Doussoura |
545 |
|||
|
44 |
Gagnakaly |
1156 |
|||
|
45 |
Hérako |
637 |
|||
|
46 |
Kalenko Missira |
815 |
|||
|
47 |
Kella |
861 |
|||
|
48 |
Missa Djalonké |
577 |
|||
|
49 |
Nouhouya |
444 |
|||
|
|
KALINKO | ||||
|
50 |
Babila |
1509 |
|||
|
51 |
Bokoty |
1095 |
|||
|
52 |
Diabérémini |
2313 |
|||
|
53 |
Diankourou |
1180 |
|||
|
54 |
Djissouma |
1223 |
|||
|
55 |
Farabato |
481 |
|||
|
56 |
Fodécariah |
647 |
|||
|
57 |
Fognokonko |
689 |
|||
|
58 |
Kalinko |
1236 |
|||
|
59 |
Kansatoh |
2492 |
|||
|
60 |
Lenny Tyewi |
401 |
|||
|
61 |
Louffamissidé |
584 |
|||
|
62 |
Missira |
766 |
|||
|
63 |
Niogo |
1036 |
|||
|
64 |
Santafara |
683 |
|||
|
65 |
Walandama |
438 |
|||
|
66 |
Yalaguéré |
908 |
|||
|
|
LANSANAYA | ||||
|
67 |
Dayégbhé |
1073 |
|||
|
68 |
Hansanguéré |
671 |
|||
|
69 |
Lansanaya |
824 |
|||
|
70 |
Santiguia |
1201 |
|||
|
71 |
Tambanoro |
890 |
|||
|
72 |
Wouyagbhé |
1018 |
|||
|
|
SELOUMA | ||||
|
73 |
Bosséré |
1372 |
|||
|
74 |
Fadia |
627 |
|||
|
75 |
Kobala |
1503 |
|||
|
76 |
Sélouma |
2470 |
|||
|
77 |
Walawala |
2220 |
|||
|
TOTAL |
94731 |
||||
Step 2: Cumulative Population
The population data are then cumulated. As demonstrated below, the population of Banora (590), plus Boubere (1638) is equal to a cumulative population of 2228. When the population of Boukaria (481) is added, the cumulative becomes 2709. This process is continued until the list is complete. In many project areas, the list of villages will be considerably longer than it is in the case used here.
Example: Cumulative population
| Region |
Sub-region |
Village |
Population |
Cumulative Population |
Cluster |
| DINGUIRAYE |
|||||
| BANORA |
|||||
| 1 |
Banora |
590 |
590 |
||
| 2 |
Boubéré |
1638 |
2228 |
||
| 3 |
Boukaria |
481 |
2709 |
||
| 4 |
Diarendji |
1195 |
3904 |
||
| 5 |
Kolla |
894 |
4798 |
||
| 6 |
Loppé Sountoun |
1131 |
5929 |
||
| 7 |
Matagania |
2499 |
8428 |
||
| 8 |
M'Bonet |
1094 |
9522 |
||
| 9 |
Nafadji |
1526 |
11048 |
||
| 10 |
N'Baloufara |
460 |
11508 |
||
| 11 |
Sénéma Tombo |
456 |
11964 |
||
| DIALAKORO |
|||||
| 12 |
Dar es Salam |
950 |
12914 |
||
| 13 |
Dialakoro |
3900 |
16814 |
||
| 14 |
Fello Lamou |
888 |
17702 |
||
| 15 |
Mossoko |
1077 |
18779 |
||
| 16 |
Watagala |
1194 |
19973 |
||
| DIATIFERE |
|||||
| 17 |
Dabatou |
1082 |
21055 |
||
| 18 |
Diatiféré |
2283 |
23338 |
||
| 19 |
Fadougou |
855 |
24193 |
||
| 20 |
Faméré |
1016 |
25209 |
||
| 21 |
Fandanda |
1180 |
26389 |
||
| 22 |
Mamoudouya |
1993 |
28382 |
||
| 23 |
Nanako |
1367 |
29749 |
||
| 24 |
Soubékindi |
1016 |
30765 |
||
| 25 |
Sourou |
1320 |
32085 |
||
| 26 |
Syllaya |
849 |
32934 |
||
| 27 |
Wonson |
1549 |
34483 |
||
| DINGUIRAYE |
|||||
| 28 |
Balagnoumaya |
1403 |
35886 |
||
| 29 |
Dinguiraye Ville |
9016 |
44902 |
||
| 30 |
Héleyabhé |
1612 |
46514 |
||
| 31 |
Kambam Halledé |
674 |
47188 |
||
| 32 |
Kambam Sabhé |
613 |
47801 |
||
| 33 |
Kebali |
1917 |
49718 |
||
| 34 |
Kouby Leyséré |
491 |
50209 |
||
| 35 |
Koumbia Ley Fello |
1281 |
51490 |
||
| 36 |
Lankon |
690 |
52180 |
||
| 37 |
Paridji |
796 |
52976 |
||
| 38 |
Parawol Diagul |
1029 |
54005 |
||
| 39 |
Sébékoro |
1677 |
55682 |
||
| 40 |
Tinkisso |
776 |
56458 |
||
| GAGNAKALY |
|||||
| 41 |
Bagui |
1117 |
57575 |
||
| 42 |
Béléya |
571 |
58146 |
||
| 43 |
Doussoura |
545 |
58691 |
||
| 44 |
Gagnakaly |
1156 |
59847 |
||
| 45 |
Hérako |
637 |
60484 |
||
| 46 |
Kalenko Missira |
815 |
61299 |
||
| 47 |
Kella |
861 |
62160 |
||
| 48 |
Missa Djalonké |
577 |
62737 |
||
| 49 |
Nouhouya |
444 |
63181 |
||
| KALINKO |
|||||
| 50 |
Babila |
1509 |
64690 |
||
| 51 |
Bokoty |
1095 |
65785 |
||
| 52 |
Diabérémini |
2313 |
68098 |
||
| 53 |
Diankourou |
1180 |
69278 |
||
| 54 |
Djissouma |
1223 |
70501 |
||
| 55 |
Farabato |
481 |
70982 |
||
| 56 |
Fodécariah |
647 |
71629 |
||
| 57 |
Fognokonko |
689 |
72318 |
||
| 58 |
Kalinko |
1236 |
73554 |
||
| 59 |
Kansatoh |
2492 |
76046 |
||
| 60 |
Lenny Tyewi |
401 |
76447 |
||
| 61 |
Louffamissidé |
584 |
77031 |
||
| 62 |
Missira |
766 |
77797 |
||
| 63 |
Niogo |
1036 |
78833 |
||
| 64 |
Santafara |
683 |
79516 |
||
| 65 |
Walandama |
438 |
79954 |
||
| 66 |
Yalaguéré |
908 |
80862 |
||
| LANSANAYA |
|||||
| 67 |
Dayégbhé |
1073 |
81935 |
||
| 68 |
Hansanguéré |
671 |
82606 |
||
| 69 |
Lansanaya |
824 |
83430 |
||
| 70 |
Santiguia |
1201 |
84631 |
||
| 71 |
Tambanoro |
890 |
85521 |
||
| 72 |
Wouyagbhé |
1018 |
86539 |
||
| SELOUMA |
|||||
| 73 |
Bosséré |
1372 |
87911 |
||
| 74 |
Fadia |
627 |
88538 |
||
| 75 |
Kobala |
1503 |
90041 |
||
| 76 |
Sélouma |
2470 |
92511 |
||
| 77 |
Walawala |
2220 |
94731 |
||
| TOTAL |
94731 |
||||
The sampling frame is basically completed at this point. Now it will be used to assign the distribution of clusters (villages).
Step 3: Clusters
To assign the clusters, it is first necessary to determine a sampling interval and to select a random number.
3.1 Sampling interval
The sampling interval (SI) will be used to systematically assign clusters from the sampling frame. The SI is equal to the total population of the project area (94731), divided by the number of clusters (30). (See the example from the project area.)
Example
| SI = Total Population | SI = 94731 | SI = 3158 |
| No. Clusters | 30 |
3.2 Random number
The random number is used to determine the starting point for the first cluster. It should have a value in the range between zero and the SI, which is 0 3158 in the example.
The random number can be generated by an appropriate computer programme (such as EPI Info), drawn from a random number table, or simply taken from a currency note. As the last method is often the simplest in the field, more detail is given below.
Example
Find a banknote and look at the serial number (SO 19801300). Taking the first four numbers, 1-9-8-0, generates a random number that fits in the required range of 0 3158.

3.3 Initial cluster
The first cluster corresponds to the village that has a cumulative population equal to or greater than the random number (1980), which is Boubere in the hypothetical project area. The second cluster corresponds to the village that has a cumulative population equal to or greater than the random number plus the sampling interval (1980+3158=5138), which is Loppe Sountoun village.
Example
| Cluster # 1 corresponds to cumulative population of 1980 (Boubere) |
| Cluster # 2 =1980+3158=5138 (Loppe Sountoun) |
| Cluster # 3 = 5138+3158=8296 (Matagania) |
| Cluster # 4 = 8296+3158=11454 (Nibalfoura) |
| Cluster # 5 = 11454+3158=14612 (Dialakoro) |
| Cluster # 6 = 14612+3158=1770 (Mossoko). and so on |
Example: Clusters
| Region |
Sub-region |
Village |
Population |
Cumulative Population |
Cluster |
| DINGUIRAYE |
|||||
| BANORA |
|||||
| 1 |
Banora |
590 |
590 |
||
| 2 |
Boubéré |
1638 |
2228 |
1 |
|
| 3 |
Boukaria |
481 |
2709 |
||
| 4 |
Diarendji |
1195 |
3904 |
||
| 5 |
Kolla |
894 |
4798 |
||
| 6 |
Loppé Sountoun |
1131 |
5929 |
2 |
|
| 7 |
Matagania |
2499 |
8428 |
3 |
|
| 8 |
M'Bonet |
1094 |
9522 |
||
| 9 |
Nafadji |
1526 |
11048 |
||
| 10 |
N'Baloufara |
460 |
11508 |
4 |
|
| 11 |
Sénéma Tombo |
456 |
11964 |
||
| DIALAKORO |
|||||
| 12 |
Dar es Salam |
950 |
12914 |
||
| 13 |
Dialakoro |
3900 |
16814 |
5 |
|
| 14 |
Fello Lamou |
888 |
17702 |
||
| 15 |
Mossoko |
1077 |
18779 |
6 |
|
| 16 |
Watagala |
1194 |
19973 |
||
| DIATIFERE |
|||||
| 17 |
Dabatou |
1082 |
21055 |
7 |
|
| 18 |
Diatiféré |
2283 |
23338 |
||
| 19 |
Fadougou |
855 |
24193 |
8 |
|
| 20 |
Faméré |
1016 |
25209 |
||
| 21 |
Fandanda |
1180 |
26389 |
||
| 22 |
Mamoudouya |
1993 |
28382 |
9 |
|
| 23 |
Nanako |
1367 |
29749 |
||
| 24 |
Soubékindi |
1016 |
30765 |
10 |
|
| 25 |
Sourou |
1320 |
32085 |
||
| 26 |
Syllaya |
849 |
32934 |
||
| 27 |
Wonson |
1549 |
34483 |
11 |
|
| DINGUIRAYE |
|||||
| 28 |
Balagnoumaya |
1403 |
35886 |
||
| 29 |
Dinguiraye Ville |
9016 |
44902 |
12, 13, 14 |
|
| 30 |
Héleyabhé |
1612 |
46514 |
15 |
|
| 31 |
Kambam Halledé |
674 |
47188 |
||
| 32 |
Kambam Sabhé |
613 |
47801 |
||
| 33 |
Kebali |
1917 |
49718 |
16 |
|
| 34 |
Kouby Leyséré |
491 |
50209 |
||
| 35 |
Koumbia Ley Fello |
1281 |
51490 |
||
| 36 |
Lankon |
690 |
52180 |
||
| 37 |
Paridji |
796 |
52976 |
17 |
|
| 38 |
Parawol Diagul |
1029 |
54005 |
||
| 39 |
Sébékoro |
1677 |
55682 |
18 |
|
| 40 |
Tinkisso |
776 |
56458 |
||
| GAGNAKALY |
|||||
| 41 |
Bagui |
1117 |
57575 |
||
| 42 |
Béléya |
571 |
58146 |
||
| 43 |
Doussoura |
545 |
58691 |
||
| 44 |
Gagnakaly |
1156 |
59847 |
19 |
|
| 45 |
Hérako |
637 |
60484 |
||
| 46 |
Kalenko Missira |
815 |
61299 |
||
| 47 |
Kella |
861 |
62160 |
20 |
|
| 48 |
Missa Djalonké |
577 |
62737 |
||
| 49 |
Nouhouya |
444 |
63181 |
||
| KALINKO |
|||||
| 50 |
Babila |
1509 |
64690 |
||
| 51 |
Bokoty |
1095 |
65785 |
21 |
|
| 52 |
Diabérémini |
2313 |
68098 |
||
| 53 |
Diankourou |
1180 |
69278 |
22 |
|
| 54 |
Djissouma |
1223 |
70501 |
||
| 55 |
Farabato |
481 |
70982 |
||
| 56 |
Fodécariah |
647 |
71629 |
23 |
|
| 57 |
Fognokonko |
689 |
72318 |
||
| 58 |
Kalinko |
1236 |
73554 |
||
| 59 |
Kansatoh |
2492 |
76046 |
24 |
|
| 60 |
Lenny Tyewi |
401 |
76447 |
||
| 61 |
Louffamissidé |
584 |
77031 |
||
| 62 |
Missira |
766 |
77797 |
25 |
|
| 63 |
Niogo |
1036 |
78833 |
||
| 64 |
Santafara |
683 |
79516 |
||
| 65 |
Walandama |
438 |
79954 |
||
| 66 |
Yalaguéré |
908 |
80862 |
||
| LANSANAYA |
|||||
| 67 |
Dayégbhé |
1073 |
81935 |
26 |
|
| 68 |
Hansanguéré |
671 |
82606 |
||
| 69 |
Lansanaya |
824 |
83430 |
||
| 70 |
Santiguia |
1201 |
84631 |
27 |
|
| 71 |
Tambanoro |
890 |
85521 |
||
| 72 |
Wouyagbhé |
1018 |
86539 |
||
| SELOUMA |
|||||
| 73 |
Bosséré |
1372 |
87911 |
28 |
|
| 74 |
Fadia |
627 |
88538 |
||
| 75 |
Kobala |
1503 |
90041 |
||
| 76 |
Sélouma |
2470 |
92511 |
29 |
|
| 77 |
Walawala |
2220 |
94731 |
30 |
|
| TOTAL |
94731 |
||||
The methodology for selecting households within the clusters is explained in Unit II, Training handbook: Collecting anthropometric measures of children.