Inquerito Aos Orcamentos Familiares 2017
São Tomé and Príncipe, 2017
Get MicrodataCreated on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
31214
Downloads
159
- Data files
- IOF2017_Section_0.dta
- IOF2017_Section_1.dta
- IOF2017_Section_2.dta
- IOF2017_Section_3.dta
- IOF2017_Section_4.dta
- IOF2017_Section_5.dta
- IOF2017_Section_6A.dta
- IOF2017_Section_6B1.dta
- IOF2017_Section_6B2.dta
- IOF2017_Section_6B3.dta
- IOF2017_Section_7.dta
- IOF2017_Section_8.dta
- IOF2017_Section_9.dta
- IOF2017_Section_10A.dta
- IOF2017_Section_10B1.dta
- IOF2017_Section_10B2.dta
- IOF2017_Section_10C.dta
- IOF2017_Section_11A.dta
- IOF2017_Section_11B.dta
- IOF2017_Section_11C.dta
- IOF2017_Section_11D.dta
- IOF2017_Section_11E.dta
- IOF2017_Section_11F.dta
- IOF2017_Section_12.dta
- IOF2017_Section_13.dta
- IOF2017_Section_14.dta
- IOF2017_Section_15.dta
- IOF2017_Section_16A1.dta
- IOF2017_Section_16A2.dta
- IOF2017_Section_16B.dta
- IOF2017_Section_16C1.dta
- IOF2017_Section_16C2.dta
- IOF2017_Section_17.dta
- IOF2017_Section_18.dta
- IOF2017_Section_18B.dta
- IOF2017_Section_19.dta
- IOF2017_Section_20A.dta
- IOF2017_Section_20B.dta
- IOF2017_Section_20C.dta
- IOF2017_Section_20D.dta
- region.dta
- STP_IOF2017_Poids_cale.dta
6.31. ... em despesas de aluguer, água e electricidade ? (q6b31)
Data file: IOF2017_Section_6B1.dta
Overview
Valid:
328
Invalid:
27
Minimum:
0
Maximum:
12000000
Type:
Discrete
Decimal:
0
Start:
367
End:
374
Width:
8
Range:
0 - 12000000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 259 |
79%
|
|
| 8888 | 4 |
1.2%
|
|
| 20000 | 1 |
0.3%
|
|
| 50000 | 2 |
0.6%
|
|
| 60000 | 1 |
0.3%
|
|
| 80000 | 1 |
0.3%
|
|
| 90000 | 1 |
0.3%
|
|
| 100000 | 3 |
0.9%
|
|
| 135000 | 1 |
0.3%
|
|
| 150000 | 4 |
1.2%
|
|
| 170000 | 1 |
0.3%
|
|
| 175000 | 1 |
0.3%
|
|
| 180000 | 2 |
0.6%
|
|
| 190000 | 1 |
0.3%
|
|
| 200000 | 1 |
0.3%
|
|
| 220000 | 1 |
0.3%
|
|
| 230000 | 1 |
0.3%
|
|
| 250000 | 2 |
0.6%
|
|
| 300000 | 5 |
1.5%
|
|
| 342000 | 1 |
0.3%
|
|
| 350000 | 2 |
0.6%
|
|
| 380000 | 1 |
0.3%
|
|
| 400000 | 2 |
0.6%
|
|
| 500000 | 3 |
0.9%
|
|
| 560000 | 1 |
0.3%
|
|
| 600000 | 1 |
0.3%
|
|
| 630000 | 1 |
0.3%
|
|
| 680000 | 1 |
0.3%
|
|
| 750000 | 1 |
0.3%
|
|
| 877000 | 2 |
0.6%
|
|
| 1000000 | 4 |
1.2%
|
|
| 1280000 | 1 |
0.3%
|
|
| 1500000 | 1 |
0.3%
|
|
| 1800000 | 4 |
1.2%
|
|
| 2000000 | 2 |
0.6%
|
|
| 2300000 | 1 |
0.3%
|
|
| 3700000 | 1 |
0.3%
|
|
| 4000000 | 1 |
0.3%
|
|
| 5000000 | 2 |
0.6%
|
|
| 8888888 | 2 |
0.6%
|
|
| 12000000 | 1 |
0.3%
|
|
| Sysmiss | 27 |
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.