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    Home / Central Data Catalog / TZA_2016_EQUIPIE-ML_V02_M / variable [F10]
central

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
Metadata
DDI/XML JSON
Created on
Jun 26, 2017
Last modified
Sep 07, 2022
Page views
214258
Downloads
3669
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  • ml_v2_1_school
  • ml_v2_1_teacher
  • ml_v2_1_lesson
  • ml_v2_2_pupil

s10.4 q02: 01 Govt OTHER than CG - Amount received in 2015 (ht_ml_fundamount_1)

Data file: ml_v2_1_school

Overview

Valid: 168
Invalid: 32
Minimum: -2
Maximum: 8400000
Type: Discrete
Decimal: 0
Start: 4156
End: 4162
Width: 7
Range: -9 - 8400000
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 1
0.6%
-1 Refused 0
0%
64000 1
0.6%
111000 1
0.6%
123000 1
0.6%
131000 1
0.6%
137000 1
0.6%
146000 1
0.6%
157000 1
0.6%
177000 1
0.6%
180000 1
0.6%
181000 1
0.6%
184000 1
0.6%
188000 1
0.6%
190000 1
0.6%
193000 1
0.6%
195000 1
0.6%
198000 1
0.6%
199000 2
1.2%
201000 1
0.6%
203000 2
1.2%
205000 2
1.2%
206000 1
0.6%
207000 1
0.6%
212000 2
1.2%
216000 2
1.2%
217000 1
0.6%
220000 1
0.6%
223000 2
1.2%
224000 1
0.6%
225000 1
0.6%
229000 1
0.6%
230000 1
0.6%
231000 1
0.6%
232000 1
0.6%
234000 1
0.6%
237000 1
0.6%
239000 1
0.6%
241000 1
0.6%
242000 1
0.6%
243000 1
0.6%
245000 1
0.6%
248000 1
0.6%
249000 1
0.6%
250000 2
1.2%
253000 2
1.2%
256000 1
0.6%
262000 1
0.6%
266000 1
0.6%
267000 1
0.6%
268000 1
0.6%
271000 1
0.6%
272000 1
0.6%
273000 1
0.6%
274000 1
0.6%
276000 1
0.6%
278000 2
1.2%
283000 3
1.8%
284000 2
1.2%
285000 1
0.6%
286000 1
0.6%
298000 3
1.8%
299000 1
0.6%
300000 1
0.6%
304000 1
0.6%
310000 1
0.6%
310660 1
0.6%
312000 3
1.8%
313000 1
0.6%
316000 1
0.6%
317000 2
1.2%
319000 2
1.2%
320000 1
0.6%
322000 1
0.6%
326000 1
0.6%
328000 2
1.2%
330000 1
0.6%
332000 1
0.6%
338000 1
0.6%
340000 1
0.6%
342000 1
0.6%
345000 1
0.6%
349000 1
0.6%
350000 1
0.6%
353000 1
0.6%
356000 1
0.6%
357000 2
1.2%
360000 1
0.6%
365000 1
0.6%
370000 2
1.2%
381000 2
1.2%
387000 1
0.6%
390000 1
0.6%
399000 1
0.6%
400000 1
0.6%
422000 1
0.6%
424000 1
0.6%
429000 1
0.6%
430000 2
1.2%
438000 1
0.6%
441000 2
1.2%
444000 1
0.6%
448000 2
1.2%
452000 1
0.6%
464000 1
0.6%
466000 1
0.6%
481000 1
0.6%
493000 1
0.6%
496000 1
0.6%
505000 1
0.6%
506000 1
0.6%
521000 2
1.2%
527000 1
0.6%
538000 1
0.6%
540000 1
0.6%
546000 1
0.6%
548000 2
1.2%
549000 1
0.6%
550000 2
1.2%
559000 1
0.6%
569000 1
0.6%
575000 1
0.6%
645000 1
0.6%
646000 1
0.6%
672000 1
0.6%
756000 1
0.6%
764000 1
0.6%
801000 1
0.6%
883000 1
0.6%
971000 1
0.6%
1000000 2
1.2%
1100000 1
0.6%
1260000 1
0.6%
1966571 1
0.6%
2087000 1
0.6%
2423000 1
0.6%
3227571 1
0.6%
5390256 1
0.6%
5500000 1
0.6%
8400000 1
0.6%
Sysmiss 32
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.
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