Education Quality Improvement Programme Impact Evaluation Midline Survey 2016
Tanzania, 2016
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Reference ID
TZA_2016_EQUIPIE-ML_v02_M
Producer(s)
Oxford Policy Management Ltd
Collection(s)
Metadata
Created on
May 16, 2017
Last modified
Dec 02, 2021
Page views
531027
Downloads
43002
- Data files
- ml_v2_1_school
- ml_v2_1_teacher
- ml_v2_1_lesson
- ml_v2_2_pupil
s02 q12: Specified local or foreign language teacher speaks at home (t_ml_languagespec)
Data file: ml_v2_1_teacher
Overview
Valid:
79
Invalid:
2824
Minimum:
12
Maximum:
125
Type:
Discrete
Decimal:
0
Start:
619
End:
622
Width:
4
Range:
-9 - 1003
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -9 | Missing | 0 |
0%
|
| -8 | Missing due to a mistake in CAPI enabling rule that was later fixed | 0 |
0%
|
| -7 | Missing due to late addition of question | 0 |
0%
|
| -6 | No record kept/Record not available/Attendance not taken | 0 |
0%
|
| -5 | Not available | 0 |
0%
|
| -4 | No response | 0 |
0%
|
| -3 | Not applicable | 0 |
0%
|
| -2 | Don't know | 0 |
0%
|
| -1 | Refused | 0 |
0%
|
| 1 | Alagwa | 0 |
0%
|
| 2 | Akiek | 0 |
0%
|
| 3 | Arusha | 0 |
0%
|
| 4 | Assa | 0 |
0%
|
| 5 | Barabaig | 0 |
0%
|
| 6 | Bembe | 0 |
0%
|
| 7 | Bena | 0 |
0%
|
| 8 | Bende | 0 |
0%
|
| 9 | Bondei | 0 |
0%
|
| 10 | Bungu | 0 |
0%
|
| 11 | Burunge | 0 |
0%
|
| 12 | Chagga | 1 |
1.3%
|
| 13 | Datoga | 0 |
0%
|
| 14 | Dhaiso | 0 |
0%
|
| 15 | Digo | 0 |
0%
|
| 16 | Doe | 0 |
0%
|
| 17 | Fipa | 4 |
5.1%
|
| 18 | Gogo | 3 |
3.8%
|
| 19 | Gorowa | 0 |
0%
|
| 20 | Gweno | 0 |
0%
|
| 21 | Ha | 4 |
5.1%
|
| 22 | Hadzabe | 0 |
0%
|
| 23 | Hangaza | 0 |
0%
|
| 24 | Haya | 0 |
0%
|
| 25 | Hehe | 1 |
1.3%
|
| 26 | Ikizu | 0 |
0%
|
| 27 | Ikoma | 0 |
0%
|
| 28 | Iraqw | 1 |
1.3%
|
| 29 | Isanzu | 0 |
0%
|
| 30 | Jiji | 0 |
0%
|
| 31 | Jita | 3 |
3.8%
|
| 32 | Kabwa | 0 |
0%
|
| 33 | Kaguru | 1 |
1.3%
|
| 34 | Kahe | 0 |
0%
|
| 35 | Kami | 0 |
0%
|
| 36 | Kara (Regi) | 0 |
0%
|
| 37 | Kerewe | 0 |
0%
|
| 38 | Kimbu | 0 |
0%
|
| 39 | Kinga | 0 |
0%
|
| 40 | Kisankasa | 0 |
0%
|
| 41 | Kisi | 0 |
0%
|
| 42 | Konongo | 0 |
0%
|
| 43 | Kuria | 2 |
2.5%
|
| 44 | Kutu | 0 |
0%
|
| 45 | Kw'adza | 0 |
0%
|
| 46 | Kwavi | 0 |
0%
|
| 47 | Kwaya | 0 |
0%
|
| 48 | Kwere | 0 |
0%
|
| 49 | Kwifa | 0 |
0%
|
| 50 | Lambya | 0 |
0%
|
| 51 | Luguru | 0 |
0%
|
| 52 | Luo | 1 |
1.3%
|
| 53 | Maasai | 3 |
3.8%
|
| 54 | Machinga | 0 |
0%
|
| 55 | Magoma | 0 |
0%
|
| 56 | Makonde | 0 |
0%
|
| 57 | Makua | 0 |
0%
|
| 58 | Makwe | 0 |
0%
|
| 59 | Malila | 0 |
0%
|
| 60 | Mambwe | 0 |
0%
|
| 61 | Manda | 0 |
0%
|
| 62 | Matengo | 0 |
0%
|
| 63 | Matumbi | 0 |
0%
|
| 64 | Mawiha | 0 |
0%
|
| 65 | Mbugwe | 0 |
0%
|
| 66 | Mbunga | 0 |
0%
|
| 67 | Mosiro | 0 |
0%
|
| 68 | Mpoto | 0 |
0%
|
| 69 | Mwanga | 0 |
0%
|
| 70 | Mwera | 0 |
0%
|
| 71 | Ndali | 1 |
1.3%
|
| 72 | Ndamba | 0 |
0%
|
| 73 | Ndendeule | 0 |
0%
|
| 74 | Ndengereko | 0 |
0%
|
| 75 | Ndonde | 0 |
0%
|
| 76 | Ngasa | 0 |
0%
|
| 77 | Ngindo | 0 |
0%
|
| 78 | Ngoni | 0 |
0%
|
| 79 | Ngulu | 0 |
0%
|
| 80 | Ngurimi | 0 |
0%
|
| 81 | Ngwele | 0 |
0%
|
| 82 | Nilamba | 0 |
0%
|
| 83 | Nindi | 0 |
0%
|
| 84 | Nyakyusa | 0 |
0%
|
| 85 | Nyambo | 0 |
0%
|
| 86 | Nyamwanga | 0 |
0%
|
| 87 | Nyamwezi | 4 |
5.1%
|
| 88 | Nyanyembe | 0 |
0%
|
| 89 | Nyaturu | 10 |
12.7%
|
| 90 | Nyiha | 0 |
0%
|
| 91 | Nyiramba | 2 |
2.5%
|
| 92 | Pangwa | 0 |
0%
|
| 93 | Pare | 0 |
0%
|
| 94 | Pimbwe | 1 |
1.3%
|
| 95 | Pogolo | 0 |
0%
|
| 96 | Rangi | 0 |
0%
|
| 97 | Rufiji | 0 |
0%
|
| 98 | Rungi | 0 |
0%
|
| 99 | Rungu | 0 |
0%
|
| 100 | Rungwa | 0 |
0%
|
| 101 | Rwa | 0 |
0%
|
| 102 | Safwa | 1 |
1.3%
|
| 103 | Sagara | 0 |
0%
|
| 104 | Sandawe | 0 |
0%
|
| 105 | Sangu | 0 |
0%
|
| 106 | Segeju | 0 |
0%
|
| 107 | Shambaa | 1 |
1.3%
|
| 108 | Shubi | 0 |
0%
|
| 109 | Sizaki | 0 |
0%
|
| 110 | Subi | 0 |
0%
|
| 111 | Sukuma | 29 |
36.7%
|
| 112 | Sumbwa | 0 |
0%
|
| 114 | Temi | 2 |
2.5%
|
| 115 | Tongwe | 0 |
0%
|
| 116 | Tumbuka | 0 |
0%
|
| 117 | Vidunda | 0 |
0%
|
| 118 | Vinza | 0 |
0%
|
| 119 | Wanda | 0 |
0%
|
| 120 | Wanji | 0 |
0%
|
| 121 | Ware | 0 |
0%
|
| 122 | Yao | 1 |
1.3%
|
| 123 | Zanaki | 0 |
0%
|
| 124 | Zaramo | 0 |
0%
|
| 125 | Zigua | 3 |
3.8%
|
| 126 | Zinza | 0 |
0%
|
| 127 | Zyoba | 0 |
0%
|
| 996 | Other (specify) | 0 |
0%
|
| 1001 | English | 0 |
0%
|
| 1002 | Hindi | 0 |
0%
|
| 1003 | Portugese | 0 |
0%
|
| Sysmiss | 2824 |
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.