- Data files
- SEIF_HALI_health_baseline_data_2105
Name of school (sch_name)
Data file: SEIF_HALI_health_baseline_data_2105
Overview
Valid:
2400
Invalid:
0
Type:
Discrete
Width:
15
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| BODO | 43 |
1.8%
|
|
| BONGWE | 54 |
2.3%
|
|
| BOYANI | 51 |
2.1%
|
|
| BWITI | 50 |
2.1%
|
|
| ESHU | 47 |
2%
|
|
| FAHAMUNI | 50 |
2.1%
|
|
| GANDA | 48 |
2%
|
|
| GAZI | 60 |
2.5%
|
|
| KIBUYUNI | 39 |
1.6%
|
|
| KIDOMAYA | 47 |
2%
|
|
| KIKONDE | 42 |
1.8%
|
|
| KILOLE | 49 |
2%
|
|
| KINGWEDE | 43 |
1.8%
|
|
| KINONDO | 46 |
1.9%
|
|
| KIRUKU | 50 |
2.1%
|
|
| KITUNGURE | 44 |
1.8%
|
|
| LUKORE | 51 |
2.1%
|
|
| MABAFWENI | 44 |
1.8%
|
|
| MADAGO | 46 |
1.9%
|
|
| MAHURUNI | 26 |
1.1%
|
|
| MAJORENI | 52 |
2.2%
|
|
| MAKONGENI | 45 |
1.9%
|
|
| MAMBA | 54 |
2.3%
|
|
| MANDA | 54 |
2.3%
|
|
| MANGAWANI | 51 |
2.1%
|
|
| MAPONDA | 55 |
2.3%
|
|
| MBUWANI | 50 |
2.1%
|
|
| MGOME | 48 |
2%
|
|
| MIAMBA | 50 |
2.1%
|
|
| MILALANI | 49 |
2%
|
|
| MIVUMONI | 49 |
2%
|
|
| MNYALATSONI | 46 |
1.9%
|
|
| MSHIU | 51 |
2.1%
|
|
| MVINDENI | 44 |
1.8%
|
|
| MWABUNGO | 50 |
2.1%
|
|
| MWAGODZO | 49 |
2%
|
|
| MWALUVANGA | 45 |
1.9%
|
|
| MWAMBALAZI | 34 |
1.4%
|
|
| MWANANYAMALA | 46 |
1.9%
|
|
| MWANDEO | 43 |
1.8%
|
|
| MWANGWEI | 46 |
1.9%
|
|
| MWANJAMBA | 42 |
1.8%
|
|
| MWENA | 51 |
2.1%
|
|
| PERANI | 46 |
1.9%
|
|
| SHAMU | 54 |
2.3%
|
|
| SHIRAZI | 31 |
1.3%
|
|
| STEPHEN KANJA | 54 |
2.3%
|
|
| TSWAKA | 37 |
1.5%
|
|
| VUKANI | 48 |
2%
|
|
| VWIVWINI | 48 |
2%
|
|
| ZIGIRA | 48 |
2%
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.