Integrated Growth Poles Project 2016, Impact Evaluation, Baseline Survey
Mozambique, 2016
Get Microdata
Reference ID
MOZ_2016_IGPPIE_v01_M
Producer(s)
Francisco Campos, Joao Montalvao, Claire Boxho
Created on
Sep 07, 2022
Last modified
Sep 07, 2022
Page views
65803
Downloads
125
- Data files
- Section_A.dta
- Section_B.dta
- Section_C.dta
- Section_D.dta
- Section_E.dta
- Section_F.dta
- Section_G.dta
- Section_J.dta
- Section_K.dta
- Section_L1.dta
- Section_L2.dta
- Section_M.dta
- Section_N.dta
- Section_Q.dta
- Section_R.dta
- Section_A.dta
- Section_B.dta
- Section_C.dta
- Section_D.dta
- Section_D4.dta
- Section_E.dta
- Section_F.dta
- Section_G.dta
- Section_M.dta
- Section_P.dta
- Section_Q.dta
- Section_T.dta
- Section_V.dta
- Section_X.dta
- Section_Y.dta
_22 g09_MT (g09_MT_22)
Data file: Section_G.dta
Overview
Valid:
78
Invalid:
76
Minimum:
5.21979236602783
Maximum:
2305.79541015625
Type:
Discrete
Decimal:
0
Start:
14175
End:
14192
Width:
18
Range:
5.21979236602783 - 2305.79541015625
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 5.21979236602783 | 1 |
1.3%
|
|
| 7.68598461151123 | 1 |
1.3%
|
|
| 15.3719692230225 | 1 |
1.3%
|
|
| 19.2149620056152 | 1 |
1.3%
|
|
| 23.0579528808594 | 1 |
1.3%
|
|
| 30.7439384460449 | 2 |
2.6%
|
|
| 61.4878768920898 | 1 |
1.3%
|
|
| 76.8598480224609 | 7 |
9%
|
|
| 80 | 1 |
1.3%
|
|
| 92.2318115234375 | 2 |
2.6%
|
|
| 100 | 7 |
9%
|
|
| 115.289764404297 | 5 |
6.4%
|
|
| 150 | 5 |
6.4%
|
|
| 153.719696044922 | 8 |
10.3%
|
|
| 192.149612426758 | 5 |
6.4%
|
|
| 200 | 5 |
6.4%
|
|
| 215.207565307617 | 1 |
1.3%
|
|
| 230.579528808594 | 10 |
12.8%
|
|
| 250 | 1 |
1.3%
|
|
| 269.009460449219 | 1 |
1.3%
|
|
| 300 | 1 |
1.3%
|
|
| 307.439392089844 | 2 |
2.6%
|
|
| 350 | 2 |
2.6%
|
|
| 461.159057617188 | 1 |
1.3%
|
|
| 500 | 1 |
1.3%
|
|
| 845.458312988281 | 1 |
1.3%
|
|
| 1500 | 1 |
1.3%
|
|
| 1690.91662597656 | 1 |
1.3%
|
|
| 1921.49609375 | 1 |
1.3%
|
|
| 2305.79541015625 | 1 |
1.3%
|
|
| Sysmiss | 76 |
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.