Measuring Living Standards within Cities, Dar es Salaam 2014-2015
Tanzania, 2014 - 2015
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Reference ID
TZA_2014_DAR-LSMS_v01_M
Producer(s)
World Bank
Collection(s)
Metadata
Created on
Jan 10, 2019
Last modified
Jan 30, 2020
Page views
79763
Downloads
19956
ward of the destination (rr_s10_dtnwrd)
Data file: rr_s10_activities_share
Overview
Valid:
918
Invalid:
76554
Type:
Discrete
Decimal:
0
Start:
51
End:
52
Width:
2
Range:
1 - 90
Format:
Numeric
Questions and instructions
Literal question
Please indicate the ward of the destination
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | magomeni | 3 |
0.3%
|
| 2 | ukonga | 17 |
1.9%
|
| 3 | kigamboni | 16 |
1.7%
|
| 4 | makurumla | 1 |
0.1%
|
| 5 | pugu | 4 |
0.4%
|
| 6 | vijibweni | 0 |
0%
|
| 7 | ndugumbi | 7 |
0.8%
|
| 8 | msongola | 0 |
0%
|
| 9 | kibada | 0 |
0%
|
| 10 | tandale | 4 |
0.4%
|
| 11 | tabata | 3 |
0.3%
|
| 12 | kisarawe ii | 1 |
0.1%
|
| 13 | mwananyamala | 4 |
0.4%
|
| 14 | kinyerezi | 6 |
0.7%
|
| 15 | somangila | 0 |
0%
|
| 16 | msasani | 7 |
0.8%
|
| 17 | ilala | 100 |
10.9%
|
| 18 | kimbiji | 0 |
0%
|
| 19 | kinondoni | 175 |
19.1%
|
| 20 | mchikichini | 11 |
1.2%
|
| 21 | mbagala | 27 |
2.9%
|
| 22 | mzimuni | 8 |
0.9%
|
| 23 | vingunguti | 12 |
1.3%
|
| 24 | chamazi | 8 |
0.9%
|
| 25 | kipawa | 0 |
0%
|
| 26 | kigogo | 8 |
0.9%
|
| 27 | yombo vituka | 2 |
0.2%
|
| 28 | mabibo | 3 |
0.3%
|
| 29 | buguruni | 8 |
0.9%
|
| 30 | charambe | 2 |
0.2%
|
| 31 | manzese | 7 |
0.8%
|
| 32 | kariakoo | 21 |
2.3%
|
| 33 | toangoma | 0 |
0%
|
| 34 | ubungo | 9 |
1%
|
| 35 | jangwani | 0 |
0%
|
| 36 | miburani | 2 |
0.2%
|
| 37 | kibamba | 12 |
1.3%
|
| 38 | gerezani | 0 |
0%
|
| 39 | temeke | 62 |
6.8%
|
| 40 | goba | 2 |
0.2%
|
| 41 | kisutu | 16 |
1.7%
|
| 42 | mtoni | 10 |
1.1%
|
| 43 | kawe | 11 |
1.2%
|
| 44 | mchafukoge | 0 |
0%
|
| 45 | keko | 4 |
0.4%
|
| 46 | kunduchi | 7 |
0.8%
|
| 47 | upanga mashariki | 5 |
0.5%
|
| 48 | kurasini | 6 |
0.7%
|
| 49 | mbweni | 10 |
1.1%
|
| 50 | upanga magharibi | 0 |
0%
|
| 51 | azimio | 0 |
0%
|
| 52 | bunju | 33 |
3.6%
|
| 53 | kivukoni | 12 |
1.3%
|
| 54 | tandika | 5 |
0.5%
|
| 55 | kiwalani | 2 |
0.2%
|
| 56 | makuburi | 6 |
0.7%
|
| 57 | sandali | 3 |
0.3%
|
| 58 | segerea | 11 |
1.2%
|
| 59 | mburahati | 2 |
0.2%
|
| 60 | changombe | 1 |
0.1%
|
| 61 | kitunda | 5 |
0.5%
|
| 62 | makumbusho | 23 |
2.5%
|
| 63 | mbagala kuu | 13 |
1.4%
|
| 64 | chanika | 16 |
1.7%
|
| 65 | sinza | 6 |
0.7%
|
| 66 | makangarawe | 0 |
0%
|
| 67 | kijitonyama | 5 |
0.5%
|
| 68 | kivule | 9 |
1%
|
| 69 | pemba mnazi | 0 |
0%
|
| 70 | kimara | 11 |
1.2%
|
| 71 | gongolamboto | 24 |
2.6%
|
| 72 | mjimwema | 15 |
1.6%
|
| 73 | majohe | 9 |
1%
|
| 74 | mikocheni | 7 |
0.8%
|
| 75 | tungi | 0 |
0%
|
| 76 | kimanga | 16 |
1.7%
|
| 77 | mbezi | 19 |
2.1%
|
| 78 | kijichi | 0 |
0%
|
| 79 | hananasifu | 2 |
0.2%
|
| 80 | mianzini | 1 |
0.1%
|
| 81 | saranga | 9 |
1%
|
| 82 | kiburugwa | 5 |
0.5%
|
| 83 | kwembe | 3 |
0.3%
|
| 84 | buza | 9 |
1%
|
| 85 | msigani | 1 |
0.1%
|
| 86 | kilakala | 2 |
0.2%
|
| 87 | mbezi juu | 1 |
0.1%
|
| 88 | makongo | 3 |
0.3%
|
| 89 | mabwepande | 2 |
0.2%
|
| 90 | wazo | 6 |
0.7%
|
| Sysmiss | 76554 |
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.